Category: Uncategorized

By Sine N. Just

Whether your point of reference for the title of this piece is late 19^th century German philosophy or early 21^st century computer games, the implications are the same: The categories are blurred and, hence, we need to develop new modes of ethical judgement. This is particularly true now, as the need for such judgement is also moving beyond ‘the human’ and ‘the technical’ as separate realms. What we need, today, is a sociotechnical ethics that enable us to steer current developments in new directions. We need, to borrow from the subtitle of Nietzsche’s work, a new ‘philosophy of the future’.

Turning from such sweeping visions to the more mundane question of how to introduce data ethics to students, the aim of this post is to report on one small experiment with technology-supported in-class debate.

Discussing algorithms and data in the class room

Using Kialo as the platform for the debate, I asked my students to help develop and assess arguments pro and con the societal impact of ‘big data’. The students had been given a prompt in the form of boyd and Crawford’s (2012) ‘Critical questions for big data,’ and prior to the exercise I had pointed to a key quote from that text (p. 663):

Will large-scale search data help us create better tools, services, and public goods? Or will it usher in a new wave of privacy incursions and invasive marketing? Will data analytics help us understand online communities and political movements? Or will it be used to track protesters and suppress speech? Will it transform how we study human communication and culture, or narrow the palette of research options and alter what ‘research’ means?

Translating these broad questions into more specific positions on the ethical implications involved, students were then asked to produce arguments for and against four common claims with clear tech-optimistic or tech-pessimistic valences as well as one claim suggesting the irrelevance of big data:

• Society will become safer
• Society will become more controlled
• Society will become richer
• Society will become more unequal
• Society will remain unchanged

The students were asked to provide one argument for or against each claim, and at the end of the exercise we held a plenary discussion to reflect on the arguments produced.

Students’ positions on data ethics

Looking at the students’ arguments, a first finding is that no one argued in favor of the claim that ‘society will remain unchanged’. To the contrary, the students provided arguments against this claim, e.g. suggesting that corporate actors and public institutions ‘will increasingly organize around big data’, that ‘techgiants have more knowledge about us, than we do’ and that individuals ‘will change their digital behaviors to protect their private lives’.

Beyond the consensus that algorithms and data are impacting the social world, however, students were divided as to the nature of the impact. And for each of the four remaining claims, they produced approximately as many arguments in favor as against. For instance, the claim that society will become more controlled, which was the claim that produced the most responses, let to a nuanced discussion concerning the implications of such control. That is, while most students took increased surveillance for granted, some felt this to be a cause for celebration rather than concern as it could ‘reduce crime’ or ‘create safety and make things easier’. Others, however, highlighted the risks of ‘misuse’ and ‘manipulation’, and suggested that people might self-regulate because ‘we do not know when we are being watched’.

Interestingly, the students produced somewhat different arguments for the claim ‘society will become safer’, suggesting that control and safety might not be exclusionary categories, but instead exist in a trade-off. Here, students were less prone to accept the possibilities of data to produce safety and more concerned with the price of such safety, e.g. suggesting that lack of transparency creates uncertainty and arguing that the ‘need to produce regulation about data security [GDPR] shows that there is a problem’. Generally, however, for this claim the students felt that ‘it depends’. And one comment on the claim of ‘more control’ nicely sums up the general attitude:

…learning more about human action and behavior can be both good and bad. Depends on what one wants to control.

Turning to the question of growth, students clearly saw the potential of technological developments to create new business opportunities and increase the efficiency while decreasing costs of e.g. marketing activities. However, as one student argued:

…society might not need more growth and wealth, but a better distribution of resources.

This takes us to the claim concerning increased inequality, which students seemingly view as a side-effect of growth. That is, the students tend to support the combined claim that current uses of algorithms and data simultaneously produce more growth and more inequality. The reasoning being that ‘data is a form of capital with which you can negotiate’ and ‘the most powerful people and organizations have more access to data and can use it to their advantage’.

Towards data ethics

In our plenary summary of the exercise, the students reported that in considering where to position themselves they had found that it is not easy to take one stance or the other, as there are many arguments for and against all positions and the matter is ‘more nuanced than I thought’, as one participant said.

Illustrating this point was the main pedagogical aim of the exercise, which I concluded with a slide showing Kranzberg’s (1986: 545) famous dictum that ‘technology is neither good nor bad; nor is it neutral.’ However, I also hoped to move beyond the articulation of this position to begin developing the alternative. What might a data ethics beyond the clear dichotomies of optimism and pessimism – good and evil – look like?

In reflecting on this question, we talked about intentionality, consequences, and situationality. Each of these potential principles of judgement are reminiscent of well-established ethical schools and, hence, carry with them the same issues of when and how to use either. As might be expected, we did not resolve these issues once and for all, but the questions linger with me – and, I hope, with the students.

With this text, I invite continued reflection on the ethics of data in as well as outside of classrooms. The future will not wait for us to develop a new philosophy, and, hence, establishing a robust and distinct data ethics is an increasingly urgent matter.  

By Mette Wichmand

The technological development has in recent years given us more and more opportunities to access, create and store data about ourselves and others. We communicate online with family, friends, acquaintances and people we do not know at all. We follow people, companies and organizations as well as hashtags online. We share thoughts, opinions and ideas in cyberspace together with our whereabouts, selfies and photos of others, and the things we do and buy. We register our sleep, steps, meals and temperature. And while we do all of that – and more – we leave digital traces behind – knowingly or not.

Together, these traces create an unprecedented amount of social data. Data that forms a goldmine for researchers in social science – like myself and my colleagues, and probably also you, dear reader, as you are reading this blog.

It is easy to become euphoric when thinking of the amount of data that the technologies are generating and giving us access to. Think about the insights we can create on how viruses travel and spread across boarders or how student socialize and learn online. Knowledge that can help us build better health services and stronger educational systems. But the opportunities come with ethical challenges. Because is the data actually ours to collect, store, share and analyse in the name of research, just because it exists and is accessible? Or does the data belong to the individuals who created it and should they be consulted before we use it? 

I have no clear answer to this question, but I think it a crucial one. Therefore I have been looking around for help and guidance.

I began my search by looking into the infamous GDPR, the extensive piece of legislation that was adopted in April 2016 by the European Council and Parliament. This piece of legislation seems to work well for private companies, but is not very helpful for me as a researcher looking for ethics. I am no legal expert, but from reading people who are, I understand that research occupies a privileged position within the Regulation: “Organizations that process personal data for research purposes may avoid restrictions on secondary processing and on processing sensitive categories of data (Article 6(4); Recital 50). As long as they implement appropriate safeguards, these organizations also may override a data subject’s right to object to processing and to seek the erasure of personal data (Article 89). Additionally, the GDPR may permit organizations to process personal data for research purposes without the data subject’s consent (Article 6(1)(f); Recitals 47, 157)” (see: https://iapp.org/news/a/how-gdpr-changes-the-rules-for-research/)

My own conclusion: Good to know what the rules are, but not the right place to look for ethical guidance.

So, looking for ethics, my next stop, was the homepage of the Danish ‘Council of Data Ethics’ (Dataetisk Råd). The council was established in May 2019 by the government with the stated task of supporting ‘a responsible and sustainable use of data in the private and the public sector’ (see: https://digst.dk/data/dataetisk-raad/). It would seem to be an obvious place to find some guidelines but turned out to be another dead-end. On the homepage, the council writes that it is essential that the data ethical challenges of the public sector are addressed, but at this point in time they have only prepared recommendations directed at the private sector.  

Finding no help with the Council of Data Ethics made me think that I might need to change my search. Instead of looking for ethical guidelines concerned with the use of personal digital data in social research, perhaps I should be looking for guidelines developed for health and medical researchers as this group has been dealing with ethical issues connected to working with sensitive and personally identifiable data for years. Maybe there was something to learn from our colleagues?

This led me to the website of the Danish Ethical Council, who prepared and published a statement in 2015 on research involving digital health data and biological material in Denmark (see: (https://www.etiskraad.dk/etiske-temaer/sundhedsdata/publikationer/udtalelse-om-sundhedsdata-2015). The statement is partly based on a background paper discussing the ethical aspects (see: https://www.etiskraad.dk/~/media/Etisk-Raad/Etiske-Temaer/Sundhedsdata/Publikationer/2015-05-12-Sundhedsdata-etiske-aspekter.pdf?la=da).

In the following, I will extract some central points of the statement and discuss their relevance and how they might help inform a similar discussion in the field of social science.

Personal ownership and consent

First of all, the publications underline that medical science is based on a 400 years old liberal tradition where every person is believed to have ownership of their own body and all information connected to it – in a medical context meaning tissue, bioproducts and genetic information et cetera.

I think this opens up an interesting discussion in relation to the data we create about ourselves online. Could and should we understand the data that is produced online in line with data derived from our physical body and as such place it under the banner of personal ownership?

If we were to accept the idea that every individual owns the data they produce online, the next step according to the Ethic Council would be for researchers to ask for ‘informed consent’ from the data owners when we want to use their data. In doing so, we should enable the data owners to decide not only if the data can be collected and by whom – but also which purposes it can be used for.

Having to ask for consent might seem inarguable when you want to drain human blood or take a biopsy from person’s liver, but when the data is accessible and can be collected with a webspider that no one sees or feel it might become easy to think of the data as finders keepers?   

Anonymity, privacy and confidentiality

The ethical imperative behind having to ask for consent from the data owners is the idea that people have the right to autonomy and self-determination. Meaning that people should be free to decide whether their personal data is used in ways that are aligned with their personal values and beliefs. If there is no alignment it could be claimed that the autonomy of a person has been violated. In health research we might agree to our data being used to do research on a rare eye disease but not for anything connected to euthanasia. I think the same considerations could be pertinent in relation to social online data, where it would be possible to imagine cases where the focus of the research is not aligned with the values of the individuals producing the digital social data used in the study. On could imagine a study focused on political differences between men and women, that a person who does not subscribe to the idea of a binary biological gender might take affront to and therefore would not wish to contribute their data to.

Further, the Ethic Council states in its report that it is often assumed unproblematic to use anonymized personal data in research. But if one applies the idea of autonomy and self-determination, it is no longer possible to think of it as unproblematic, as a person’s personal values and believes can still be violated even though the data can’t be traced back to an individual level. Furthermore, there is always a risk that the data is not thoroughly anonymized and it can therefore be argued that it should be the individual data owners themselves who decide if they find it sound to provide their data to a research project.

Solidarity and public interest

There is no doubt when reading the reports from the Ethical Council that they are concerned about people’s data and their right to self-determination, anonymity and privacy and that they advocate that we as researcher ask for consent before collecting and using personally identifiable data. With that being said, the Ethical Council points to the importance of enabling researchers to build knowledge that is of societal value – even though this can be undesirable for the individual. The argument goes that in order to be able to heal and help people, health researchers need the ability to access personal information. A cure for cancer can’t be created on basis of theoretical hypotheses only, but demands blood, sweat and tissue from many individuals. Therefore, we as individuals must show solidarity and put the collective interest before our own – even when we pay with our private data. I believe that the same could be argued for social research. Access to data – including sensitive personal data – impacts the knowledge we are able to build. The key question is when the knowledge is of such an interest to the public that we can justify using the data. Is it when data helps us make informed decisions on how to diversify the way we teach in order to meet different learning styles? Or is it when we use data to predict who will pass and fail a study and base our admissions of students on such predictions? I am afraid that there is no simple, clear-cut answers to such questions.         

What now?

I started out by asking if online social data is ours to collect, store, share and analyse in the name of research just because it exists and is accessible? Or if it belongs to the individuals who created it and who we need to consult before we can create, collect and use the data? 

Neither the legislative texts of the GDPR, nor the reports from the Ethical Council, give me any strict guidelines, but I do think that they call for a larger awareness of and discussion in the social science research community on how we should deal with public and private data and how we make sure to consider and deeply reflect on whether what we do as researchers is of such a nature and interest to the public that we can justify collecting and analyzing sensitive personal data regardless of the relative ease with which we can access it online.   

We can make rules and laws like the General Data Protection Regulation (GDPR) but in the end the matter also has to do with trust. Does the public trust us researchers and the institutions we represent to such a degree that they are willing to grant us access to their cells and internal organs as well as their (secret) desires, habits, ideas and opinions expressed online? Earning, having and keeping that trust – now and in the future – depends on how we think about and handle sensitive personal data today. It is a discussion we have to engage in. Together. So, what are your thoughts?   

Mette Wichmand is an Assistant Professor of Communication Studies at Roskilde University

By Jannie Møller Hartley

Misinformation has been a theme in recent years in connection with several democratic elections in our neighboring countries. In particular, the notion of ‘fake news’ with fictitious and factually incorrect stories has received much publicity. However, experience from countries such as the UK, Germany and Sweden had already shown that so-called ‘junk news’ is more widespread that actual misinformation from foreign actors or trolls interested in corrupting the election results. Therefore, Politiken set out to investigate the phenomenon in Denmark prior to the parliamentary elections in the spring of 2019. The newspaper contacted Digital Media Lab in the initial research for this story, as a number of questions came up during the research.

First of all, how could previous research carried out during elections in Sweden be used in a Danish context?

Researchers at Oxford University had already investigated the phenomenon. They defined ‘junk news’ as ‘propaganda and ideologically extreme, hyper-partisan or conspiratorial political news’. Five criteria were used to measure the amount of junk news during the election. Oxford examined the Swedish election in the fall of 2018 and concluded that for every three normal articles shared on Twitter, a ‘junk news’ article was shared.

The Oxford researchers were not investigating the general election in Denmark. Politiken therefore set up an expert panel with the help of the three journalism programs in Denmark. I agreed to be part of the panel, together with Peter Bro, head of the Center for Journalism at the University of Southern Denmark, Vibeke Borberg, lawyer and associate professor of media law from the Danish School of Media and Journalism.

New questions came up and simply employing the framework from the Oxford study proved an uneasy fit.

The panel spent quite some time discussing the definition of ‘junk news’ and after reading several of Oxford’s reports we concluded that the Oxford criteria were deficient. Instead, the panel set out 20 criteria for how we would assess what ‘junk news’ is. We decided that it was important to evaluate 1) The platform 2) the producers and 3) the product.

In terms of platform, we developed criteria such as ‘who owns the medium?’ And ‘is the business model transparent?’

As far as producers are concerned, the panel decided to include criteria such as ‘does the media correctly declare article genres, such as news and attitude?’ And ‘Is the media willing to correct mistakes, and how does it make the readers aware of corrections?’

As far as the product was concerned, the panel wanted to include criteria such as ‘does the media follow the contradictory principle – that the accused in an article has the right to see and respond to criticism?’. Another criterion, although a difficult one, was: ‘Is the information communicated by the media outlet misleading?’

The panel chose to focus on new digital media. The criterion for becoming part of the study was for the media site to refer to themselves as ‘media’, who did ‘journalism’ or ‘news’, or had a set-up reminiscent of news media. Party political media and actual blogs were cut off from the study as they were considered to be a category for themselves. It would later prove to be somewhat difficult to distinguish between news sites and blogs for example.

Against this background, Politiken located 15 media sites that the expert panel could examine. Articles from the 15 sites were collected during the same study period, 25. February- 4. March, whenever possible. For the most productive sites, Politiken stripped away reader letters, Ritzau articles, debate posts and daily reports from the police, so that the expert panel would only review editorial production.

The prevalence of junk media on social media was investigated with a so-called Twitter Capture and Analysis Toolset (TCAT). This tool is available from Digital Media Lab at Roskilde University. (You can read more about TCAT here).

So, what did we end up with?  How much was junk and was junk news really a problem?

The expert panel reviewed a total of 237 articles from 15 media sites. The panel concluded that nine of the media produced journalism of such poor quality that they could be defined as junk news sites. Those nine media were: 24News, NewSpeak, People’s Newspaper, The Short Newspaper, Today’s, News24, Digital News / Hug, dkdox.tv and 24/7.

Six media were assessed by the expert panel to NOT be junk media. They were: 180 Degrees, NewsBreak, Document, Solidarity, Updated and Responses. The experts’ reasons differed depending on the media. Some provided content of a quality that was satisfactory. Other media were considered by the panel to be blogs or social media, not news media. Therefore, they were not relevant to the investigation, the panel believed.

The research concluded, that several Danish digital media were spreading misinformation and hidden advertising on the internet. Their articles look like real journalism, but contain misleading information to such a degree that it can be seen as a democratic problem.

As part of the expert group, I warned against these sites as they are advertising and propaganda disguised as news journalism. It can be a democratic problem if these media manage to influence the Danes’ attitude toward certain political issues.

By doing this analysis, Politiken was able to show that doubtful articles from so-called junk media not only set the agenda on social media. They are also involved in the parliamentary processes, where politicians question the Ministers based on misleading information.

It is common to refer to specific stories in the news when asking a question to a minister, and Politiken found that 69 questions during a period of two years were based on stories published by sites characterized as junk news. This led to a broader discussion of which media sites to refer to and the responsibility of ministers and politicians to check the information of the sites they refer to, before citing them.

The project was nominated for an investigate price for the innovative method by the Danish Federation of Investigative Journalism (FUJ), 2019.

The articles can be found here (In Danish though)

Recently the chief rat of the DigitalMediaLab was featured as an expert on the DR2 series “Trumps Tweets”. Having analysed and catalogued every tweet written by Trump in the first 100 days of his presidency, Ib describes the daily rhythm of the president and how it can be seen as influencing his Twitter habits.

You can watch the full episode here:

https://www.dr.dk/drtv/se/trumps-tweets_-den-soevnige-praesident_173970

Den 3. marts var en vigtig dag for de demokratiske præsidentkandidater. Det var nemlig dagen, hvorpå over 33 procent af de delegerede skulle tildeles.

I alt skulle 1.357 delegerede ud af 3.979 mulige tildeles, og med kun fem præsidentkandidater til at kæmpe om dem var det spændende at følge med i. 

Inden Super Tuesday gik i gang valgte Pete Buttiegieg og Amy Klobuchar at droppe ud af kampen om at blive Det Demokratiske Partis præsidentkandidat. Det betød, at der til Super Tuesday kun var fem kandidater tilbage: Bernie Sanders, Joe Biden, Elizabeth Warren, Michael Bloomberg og Tulsi Gabbard. Efter Super Tuesday har yderligere to valgt at droppe ud af kampen: Elizabeth Warren og Michael Bloomberg. 

Digital Media Lab har derfor fulgt Super Tuesday ganske nøje, og har igen kigget på hvilke præsidentkandidater, som deltog under Super Tuesday, der bliver nævnt flest gange. Denne gang har vi gjort det over en periode af tre dage: Dagen inden Super Tuesday (02/03), på dagen (03/03) og dagen efter Super Tuesday (04/03). I den forbindelse skal det nævnes, at vi har taget udgangspunkt i EST tidszonen (Eastern Standard Time). Dette vil vi ligeledes gøre ved fremtidige dataindsamlinger, som vedrører Det Demokratiske Partis udvælgelse af deres endelige præsidentkandidat. Derudover er Donald J. Trump blevet nævnt 16.458 gange. 

I alt er der i perioden blevet indsamlet 501.024 tweets. 

Vi har valgt at putte de indhentede data ind i fire tidsintervaller per dag, således at udviklingen per dag er mest tydelig i diagrammet. Intervallerne er fra 00:00 til 06:00, 06:00 til 12:00, 12:00 til 18:00 og 18:00 til 00:00. Grafen ser således ud: 

Grafen viser, ligeledes som resultaterne i primærvalget viste, at Joe Biden fik et stort comeback midt og efter Super Tuesday. Ligeledes viser diagrammet også, Bernie Sanders var den person, som flest personer nævnte (@mentions) – indtil Joe Biden blev annonceret som vinder af Super Tuesday. Det er ligeledes interessant at se, hvor lidt Michael Bloomberg er blevet nævnt taget i betragtning, at han har brugt omkring 3,7 milliarder kroner på sin kampagne. 

Hos DigitalMediaLab er ikke kun interesseret i, hvem det er der er blevet nævnt flest gange, men også hvem der kommunikere med hvem. Derfor har vi denne gang lavet en netværksgrafen med de 250 mest nævnte personer – denne gang baseret på hashtagget #supertuesday. Netværksgrafen viser igen, at personer som ikke er politisk aktive, som er den største gruppe af mennesker, som kommunikerer til kandidaterne via Twitter. Derudover er den siddende præsident, Donald J. Trump, også en af dem som bliver nævnt flest gange.

Vi fortsætter med at følge med i den Amerikanske valgkamp på Twitter. Følg med her på bloggen for de nyeste analyser.

by Eva Mayerhöffer

Just in time for the European Parliament Election 2019, a somewhat notorious figure made a public re-appearance. Steve Bannon, the co-founder of alt-right news site Breitbart News and former chief strategist for the Trump administration, embarked on a mission to foster a global right-wing populist movement (https://www.nytimes.com/2018/03/09/world/europe/horowitz-europe-populism.html). Europe was supposed to be the first step.

The Movement, as it was called, never really took off – that it should require an American to ‘save’ Europe was too much to swallow for European nationalists after all. Yet, while Steve Bannon may have failed on the political scene, chances are he has fostered the global alt-right movement on a whole other level. In the past couple of years, many countries around the globe have seen the emergence of online news media that position themselves as a counterforce to a perceived liberal mainstream in media and politics. Many of these right-wing alternative (or ‘alt-right’) online news media have not least been inspired by Bannon’s brainchild Breitbart News.

Is it maybe through these news sites that we can see a transnational alt-right movement emerging? And how transnationally oriented are these news sites in the first place? Can we find evidence for an emerging network of right-wing online news sites across countries? We tried to answer these questions by focusing on alternative news sites from six different countries – the US, the UK, Sweden, Denmark, Germany and Austria. With the US and Sweden, the selection includes two countries that are frequently named as ‘exporters’ of alt-right ideology, as well as three country pairs of (cultural) neighbors. That right-wing news sites from precisely these countries should entertain at least some relations with each other across borders is thus not unlikely. 

As most of these news sites are online native and rely heavily on social media as a dissemination platform, digital methods naturally played an important part in data collection and analysis. In assessing the transnational networking potential of these sites, we focused on two aspects in particular: 1) We looked at whether they re-tweeted posts of or mentioned other right-wing news sites on Twitter. To do so, we harvested mention and re-tweet activity of in total 65 sites through DMI-TCAT-user, hosted by RUC’s Digital Media Lab (https://digitalmedialab.ruc.dk/hosted-resources/). 2) We also studied whether they hyperlinked to other right-wing news sites in article content published on their websites. As alternative news sites are not regularly included in media archives such as Infomedia or Lexis Nexis, we collected article hyperlinks through the platform MediaCloud.org, which collects online news stories through the RSS feed of online media sources. To scrape all hyperlinks embedded in these articles, we used the R package ‘rvest’.

Why not Facebook? As many of these sites use Facebook almost exclusively as a platform to disseminate their website article content, collecting website hyperlinks through extracting data from Facebook’s API would indeed have been a viable alternative. Not least because it would provide the possibility to include audience engagement patterns in the analysis, as well. Unfortunately, apps to do so, e.g. DMI’s Netvizz Application, are now no longer allowed on Facebook.

But back to the question of transnational networks among right-wing news sites. To understand their linking behavior better, we have to quickly consider why right-wing news sites may be inclined to refer to other alternative news sites in the first place. Very broadly, we can distinguish between two strategies. On the one hand, right-wing news sites may refer to each other based on a movement logic. This means that they predominantly perceive themselves as part of a larger right-wing movement beyond the conservative mainstream that includes actors and organizations from the populist right-wing, ‘alt-right’, far right and extreme right spectrum. Hyperlinks, mentions and re-tweets serve here to cement political alliances, to build and reinforce a group identity, as well as to increase the visibility and exaggerate the importance of issues relevant to the movement. On the other hand, alt-right news sites may link to other sites based on a professional logic. By hyperlinking to additional material in articles, the sites can seek to heighten the article’s concision and depth through background information. So-called citational links to the original producer of news or other materials demonstrate facticity and strengthen thereby the credibility of an article and the entire website. The higher the societal status and overall credibility of the linked source, the higher the chances that the linking practice enhances one’s own reputation.

But why link to right-wing news sites from abroad? For one, it has been argued that transnational networking is particularly relevant when the national alternative digital news environment is relatively underdeveloped, as it is e.g. the case in Denmark. Secondly, including sources from abroad widens the spectrum of news stories of partisan news value. A typical news story featured on these sites is e.g. a criminal offense committed by immigrants. Yet, even though these sites are working hard to suggest otherwise, these offenses do not come in infinite numbers. And where are additional stories easier to find than on alt-right news sites from other countries? Finally, alt-right news sites may perceive themselves in competition with each other on the national level, but less so on the transnational level, and thus be more prone to refer to each other here.

Over the course of a 3-month period, we managed to extract more than 700,000 relevant hyperlinks (that is excluding links to e.g. advertisement or social media platforms) from articles published by the 65 right-wing alternative websites. Roughly 24,000 of those were connections between these 65 sites. This low share is not surprising- even if their linking pattern was strictly based on a movement logic, right-wing news sites would of course also link to other right-wing partisan actors (parties, movements, bloggers, etc.) and to right-wing online news sites from other than the six countries. If we additionally consider the professional logic, right-wing news sites will moreover include citational and background links to established actors and organizations, including legacy media

What is maybe more surprising is that less than 1,000 of these connections were transnational. At first sight, the transnational outlook of these sites thus appears minimal. However, whether or not right-wing news sites linked to their national or international peers was also highly country-dependent. In the US (pink), the country with the by far most elaborate ‘alt-right’ digital news infrastructure, 99,9% of all article links to other right-wing news sites were national. In Sweden (blue) and Germany (purple), the majority of links was likewise national; in Austria (green), the distribution was rather even. In Denmark (beige) and the UK (yellow), where the right-wing digital news infrastructure is relatively weak, literally all links were transnational.

Hyperlinks in article websites (primary network), based on 65 news sites and 23,806 connections. Graph created in R. Layout: Fruchterman-Reingold. Node size represents out-degree. Edge color remains the same color as the country group if an edge runs between two nodes belonging to the same country. Edge color turns gray when an edge occurs between two nodes from different countries.

Many of the transnational links are between neighboring countries: German and Austrian sites link to each other, while Danish sites entertain a strong connection to Swedish sites. In general, however, it is US based right-wing news media, and here not least Breitbart News (brt.) that serve as a hub in the transnational ecosystem of right-wing alternative news displayed in the graph.

Yet, our right-wing news sites are also connected across boarders in another way. If we extend the view beyond direct links between right-wing online news sites, we can see that our right-wing news sites form part of a transnational network held together by that fact that many of them refer to the same third-party sites. Interestingly enough, the majority of them are established legacy media outlets like the New York Times, The Guardian, BBC, CNN, Swedish Aftonbladet, German BILD or Israeli Haaretz. In a case study based on the Danish right-wing sites, we found that these links to established media from abroad are only rarely used to delegitimize this source, but much more often serve to enhance the facticity and credibility of a given news story (“see, even the New York Times writes it”).

In contrast to website content, direct links between right-wing news sites based on mentions and re-tweets matter more on Twitter. Where the logic seemed more professional for website article hyperlinking, Twitter indeed seems to provide a better platform for movement-based networking. But even on Twitter, transnational mentions and re-tweets of legacy media sources carry quite some weight.

Did we find evidence for a transnational alt-right movement spearheaded by alternative media? – not so much. What did we find then? We did uncover interesting patterns in how linking patterns vary between Twitter (movement logic!) and website (professional logic!) communication, as well as between countries with established and weak digital right-wing news infrastructures. We found a rather central position of Breitbart and a few other US based alt-right media in what could eventually amount to a transnational network of right-wing alternative media. And not least a rather surprising reliance on legacy media as a journalistic source for a type of media that defines itself to work against the so-called media mainstream.

This blog entry has been written by lab member Eva Mayerhöffer and is based on her research conducted in collaboration with the research group ‘Digitalisation and the Transnational Public Sphere’, Weizenbaum Institute for the Networked Society, Berlin (https://www.weizenbaum-institut.de/en/research/rg15/).

Den 3. november skal amerikanerne stemme om, hvem de ønsker som præsident i de følgende fire år. DigitalMediaLab følger løbende den Amerikanske “Twittersfære” med en række undersøgelser.

Digital Media Lab har øjnene rettet skarp mod USA. Men før amerikanerne når dertil, så skal primærvalget overstås. Primærvalget er perioden hvor kandidater fra de to partier kæmper om at blive partiets endelige kandidat for præsidentembedet og dermed komme på stemmesedlen den 3. november. Den siddende præsident Donald J. Trump fra Det Republikanske Parti burde være sikker, men situationen er anderledes i Det Demokratiske Parti. Her kæmper otte personer i øjeblikket om at blive præsidentkandidat for partiet, og som det ser ud lige nu, er det stadig et tæt løb.

I labbet indsamler vi data fra hashtagget #2020election, og vi har kigget på de to sidste uger (11. februar kl. 12:30:00 til 25. februar kl. 12:30:00) for at se, om der allerede nu er nogle tendenser, som er værd at holde øje med. I forbindelse med hashtagget har vi bl.a. kigget på, hvem der bliver nævnt mest (@mentions) sammen med hashtagget.

De ti mest nævnte sammen med hashtagget #2020election er følgende:

1. Donald J. Trump (3503 gange – @realDonaldTrump)
2. Polls Of Politics (2411 gange – @pollsofpolitics)
3. Bernie Sanders (845 gange – @BernieSanders)
4. A.F. Brano Cartoons (818 gange – @afbranco)
5. Lindsey Graham (758 gange – @LindseyGrahamSC
6. Herman Cain (536 gange – @THEHermanCain)
7. Hillary Clinton (501 gange – @HillaryClinton)
8. Juliet [ukendt efternavn] (414 gange – @Julietknows1)
9. The Western Journal (376 gange – @Westjournalism
10. Maria Bartiromo (396 gange – @MariaBartiromo)

På listen finder man politikere som Donald J. Trump (1), Bernie Sanders (3), Lindsey Graham (5) og Hillary Clinton (7). Derudover findes Polls Of Politics (2) også på listen. Det er en uafhængig Twitter-profil som laver afstemninger på sin profil. Derudover er der tv-personligheder som Herman Cain (6) og Maria Bartiromo (10) på listen.

Det er interssant at se, hvordan det kun er Bernie Sanders fra Det Demokratiske Parti, som er på top ti listen. Længere nede på listen finder man også Pete Buttigieg (281 mentions) og Elizabeth Warren (211). Hvis man kigger på Det Demokratiske Partis kandidater, så ser den rangerede liste således ud:

1. Bernie Sanders (845 gange – @BernieSanders)
2. Pete Buttigieg (281 gange – @PeteButtigieg)
3. Elizabeth Warren (211 gange – @ewarren)
4. Mike Bloomberg (196 gange – @MikeBloomberg)
5. Joe Biden (148 gange – @JoeBiden)
6. Tulsi Gabbard (57 gange – @TulsiGabbard)
7. Amy Klobuchar (45 gange – @amyklobuchar)
8. Tom Steyer (29 gange – @TomSteyer)

Ligeledes har vi kigget på sociale netværk, og set hvem det er, som nævner hinanden sammen med hashtagget #2020election. Man kan se netværksgrafen nederest i artiklen. Grafen er bestående af forskellige størrelse cirkler (noder), og en masse pile (forbindelser). Nodernes størrelse afspejler hvor mange gange, de er blevet nævnt. Det er derfor ikke mærkeligt, at Donald J. Trumps cirkel er størst, da han må forventes, som siddende præsident, at blive nævnt flest gange. Man kan ligeledes se forbindelsen mellem Twitter-brugeren @chris_1791 og @breitbartnews er størst, da @Chris_1791 er den eneste som har nævnt @breitbartnews.

Vi har i indsamlingen taget de 100 mest nævnte personer, og i den forbindelse har vi også fjernet noder, som kun nævner sig selv, og dermed ikke forbindes til andre noder.

Netværksgrafen viser også, at det ikke kun er politikerne som benytter sig af hashtagget, men mennesker, som vi har identificeret som værende ikke-politikere, der benytter sig af hashtagget. Det er også værd at nævne, at hashtagget #2020election ikke endnu har særlig meget aktivitet, men det forventes at blive brugt flittigt når den endelig præsidentkandidat for Det Demokratiske Parti er fundet, og valgkampen om præsidentembedet for alvor starter. 

Digital Media Lab og de kommende uger

Over de næste uger vil Digital Media Lab blandt andet holde et skarp fokus på fænomenet ‘Super Tuesday’, som afholdes den 3. marts. Her vil over 33% af de delegerede stemmer blive delt ud, og vi har indtil videre indsamlet over 18.000 tweets. Her vil vi også holde øje med Twitter i forhold til debatterne, som foregår på amerikansk tv.

Har du et forslag til, hvad vi kan kigge efter, så er du som altid mere end velkommen til at kontakte os på mail: digitalmedialab@ruc.dk

Valgkampens tredje uge er forbi, og vi er gået ind i den sidste spændende uge inden valget den 5. juni. Inden da tager Digital Media Lab et overblik over den foregående uge. I dette tilfælde strækker ugen sig fra den 21. maj og til og med den 27. maj 2019.

I denne udgave kigger vi, ligesom sidste uge, på følgende ting:

• Hvilken profil har lavet flest tweets?
•  Hvilke hashtags har været mest populære?
• Hvilken profil er blevet nævn flest gange?
• Hvilken profil har over hele valgkampens tweetet flest gange?

I forlængelse med ovenstående kigger vi samtidig også lidt nærmere på Europa-Parlamentsvalgets indflydelse på folketingsvalgkampen.

Lad os for god ordens skyld kigge lidt nærmere på hvilke profiler der har lavet flest tweets i den forgangene uge.

Antal tweets
I alt er der blevet lavet 6.660 tweets fordelt ud over 560 kandidater. Dette inkluderer også partiernes egne Twitter profiler. Top fem over mest tweetede profiler ser således ud:

1. Karen Melchior – Kommende Europa-Parlaments medlem for de Radikale (758 tweets)
2. Uffe Elbæk – Formand og medlem af partiet Alternativet (193 tweets)
3. Uwe Max Jensen – Folketingskandidat for Strams Kurs i Nordjylland (172 tweets)
4. Andreas Albertsen – Folketingskandidat for SF i Vestjylland (148 tweets)
5. Niels Callesøe – Folketingskandidat for SF i Østjylland (147 tweets).

Det er i dette sammenhæng værd at nævne, at retweets indgår i det samlede antal tweets. Karen Melchior er stadigvæk aktiv på Twitter, men de fleste af hendes tweets er retweets. Karen Melchior, som i øvrigt for nyligt blev valgt ind i Europa Parlamentet, sprænger altså grafen med hendes 758 tweets. For at sætte det antal i relief, så svarer det til at hun per time laver 4,5 tweets i syv fulde dage.

Nedenfor ses søjlediagrammet over dette:

Hashtags
Som skrevet tidligere, så har der i denne periode været 6.660 tweets, og emnerne de berører, er meget ens. For god ordens skyld så skal vi igen nævne, at de nedenstående grafer er foruden hashtaggene #dkpol, #fv19 og #dkmedier. I denne udgave har vi lavet to grafer. En der indeholder hashtagget #ep19dk og en der ikke gør. Det har vi gjort for at kunne vise emnerne, så det er mere realistisk hvad emner har været. Vi skal i den forbindelse også nævne, at valgkampshashtag som #folketingsvalg19 #fv2019 #valg2019 er blevet lagt sammen, så alle tal indgår. Det vil sige, at placeringerne af hashtags i grafen ikke nødvendigt stemmer overens med deres reelle placering.

Rækkefølgen er:

1. #ep19dk (brugt 510 gange)
2. #dkgreen (brugt 168 gange)
3. #fremad (brugt 135 gange)
4. #viereuropa (brugt 90 gange)
5. #stemgrønnest (brugt 66 gange)
6. #alternativet (brugt 51 gange)
7. #grøntvalg (brugt 41 gange)
8. #hopeisback (brugt 31 gange)
9. #sundpol (brugt 29 gange)
10. #Klimamarch (brugt 23 gange)

Grafen med hashtagget #ep19dk ser således ud:

Grafen uden hashtagget #ep19dk ser således ud:

Mentions
I de to sidste uger af valgkampen, har det været Socialdemokratiets Twitter profil (Spolitik) der er blevet nævnt flest gange. I valgkampens tredje uge må de se sig slået af Alternativets Twitter profil (alternativet_). Rækkefølgen er følgende:

1. Alternativets twitterprofil (alternativet_) er nævnt 295 gange
2. Socialdemokratiets twitterprofil (Spolitk) er nævnt 244 gange
3. Venstres twitterprofil (venstredk) er nævnt 191 gange
4. Det Radikale Venstres twitterprofil (radikale) er nævnt 176 gange
5. Karen Melchiors twitterprofil (karmel80) er nævnt 166 gange

Længere nede på listen finder man partiformænd og kvinder som Uffe Elbæk, Lars Løkke Rasmussen, Pia Kjærsgaard og Pia Olsen Dyhr. Grafen ser således ud:

Samlet tweets
Tre ugers valgkamp har været undervejs, og den sidste uge er næsten kun lige begyndt. I den forbindelse har Digital Media Lab taget et dyk ned i hvem der har tweetet mest. På nuværende tidspunkt kan det næppe komme som nogen overraskelse, at det er kommende medlem af Europa Parlamentet for de Radikale Karen Melchior, der er på en stensikker førsteplads. Med 1361 tweets, har hun lavet dobbelt så mange tweets som andenpladsen. Andenpladsen er besat af Uwe Max Jensen som er folketingskandidat for Stram Kurs i Nordjylland.

Rækkefølgende er:

1. Karen Melchior – Kommende Europa-Parlaments medlem for de Radikale (1361 tweets)
2. Uwe Max Jensen – Folketingskandidat for Strams Kurs i Nordjylland (562 tweets)
3. Andreas Albertsen – Folketingskandidat for SF i Vestjylland (551 tweets)
4. Uffe Elbæk – Formand og medlem af partiet Alternativet (508 tweets)
5. Niels Callesøe – Folketingskandidat for SF i Østjylland (486 tweets).

Grafen ser således ud:

Dette overblik er lavet af forskningsassistent Nicolaj Sveiger i samarbejde med adjunkt Sander Andreas Schwartz. 

We are currently attending the European Investigative Journalism Conference (EIJC19) in Mechelen, and will write about interesting software usable for research purposes.

This list of software is something we took a note of, and that you might find interesting.

• Datashare – a cool piece of software for reading documents and turn unstructured data into structures.
• Neo4j – Graph software, that turns relational data into just that – relations, that can be visualized in many ways. Using a language quite similar to SQL. Syntax is pretty complex though.
• Anaconda – Once again the Anaconda platform seems to be the weapon of choice for coders around the world.
• OSINT Framework – Framework focused on gathering information from free tools or resources. Also on Github.
• Python Package Index – Great overview of libraries. Searchable, obviously.

And as a small bonus, we did a bit of coding while at the conference. So we have updated our scripts for converting handles and id’s for Twitter users (and vice versa). Now they output both to command line and CSV-files 🙂