Unveiling Rethinking Politics in Data Times seminar programme 2017-18

Big data influences social, cultural, economical and political aspects of today's society. With 'big data' being one of the most debated topics of 2017, we want to bring specialists to understand this concept in relation to politics in the broader sense. Each month, our new seminar series "Rethinking politics in data times" will invite scholars from different fields to discuss how data changes the way we discuss, analyse, argue and think about politics. 

We have finalised our programme, so open your diaries and mark the following dates:

October 5th, 2017 - Monday, 5pm, Room Windsor 103 - Dr. Lina Dencik (Cardiff University) - Founder/Director of Data Justice Lab. If you've missed this event you can read our the recap our student Ellen Simpson wrote about it.

November 23rd, 2017 - Thursday, 5pm, Room Windsor 004, in collaboration with our colleagues from AAME, Centre for Politics in Africa, Asia and the Middle East - Maria Repnikova (Department of Communication, Georgia State University) will speak on China as a Media Player: From Domestic Media Politics to Ambitions for Global Dominance. 

December 4th, 2017 - Monday, 5pm, Room Windsor 103 - Dr. Anna Feigenbaum (Centre for the Study of Journalism, Culture and Community, Bournemouth University)- will be talking about her Data Storytelling Workbook (Routledge 2019), which draws on practitioners’ experiences and current research to explore how the rise in big and open data can be put to use to tell better data stories for social change.

January 15th, 2018 - Monday, 5pm room FW101 - Dr. Jennifer Pybus (Digital Humanities, King's College) will be talking about profiling and targeting advertising on Facebook.

February 8th, 2018 - Thursday, 5pm, Room Moore 008 - Dr. Anastasia Denisova (CAMRI Media Research, Westminster University) talking about political memes and viral culture in Russia. 

March 5th, 2018 - Monday, 5pm Room FW101 - Professor Louise Amoore (Geography Department, Durham University) will be talking about 'cloud ethics'.

Detailed abstracts will be sent closer to the date of the seminars.

All the seminar series events will be live-tweeted, Join us for the debate -> #RethinkingPoliticsData

We will also have recap blogs and podcasts with the speakers so stay tuned!

Entry is free of charge and we look forward to thinking and debating with you about the future of politics in data times - All welcome!

 

Trump, #takeaknee, and Kaepernick as an example of a cybercascade

Written by Ellen Simpson.

When Colin Kaepernick chose to sit during the playing of the national anthem in August 2016 he did so in protest. “I’m not going to stand and show pride in a flag and for a country that oppresses black people and people of colour…There are bodies in the street and people getting paid leave and getting away with murder” he said. He spoke in reference to the approximately 309 black people killed by police in the United States in 2016. His protest, first sitting, and then kneeling, during the national anthem was soon joined by others across professional sport. This quiet protest was allowed despite public and internal outcry. To be a person of colour and a professional athlete in the United States means occupying an inherently political space

Donald Trump’s comments last week in Alabama brought the kneeling protest of NFL players into the forefront of media debate. The language Trump used to describe an unnamed player who knelt during the national anthem as a “son of a b*tch” who should be “fired” for being unpatriotic and disrespecting the flag was at the centre of the debate.

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Soon, #takeaknee and #standfortheflag were trending on Twitter. Few things are as American as football, and the idea that the president would urge for a boycott of the entire NFL over what he framed was an ‘unpatriotic’ act by a few players was divisive. Trump’s strawman dismissal of the racial aspect of the kneeling protest in favour of the ‘unpatriotic’ narrative is the same rhetorical device used in comment section arguments online.

In his book about blogging, Cass Sunstein speaks of cybercascades. They are, he states, a process by which information encourages a certain point of view to become widespread, simply because so many people believe it (Sunstein, 44). Twitter is blogging on a micro scale, but Sunstein is right; belief in the validity of an idea comes in volume on Twitter. Donald Trump has 39.5 million Twitter followers; and if one uses the free service Twitter Audit, one can determine that approximately 63% of those users are real. Trump’s ability to cascade information reaches approximately 24.8 million “real” users on Twitter alone.

The office of the American president has historically been viewed as trustworthy, and what Donald Trump says – and tweets – is news. It contributes to the cacophonous echo of the 24-hour news cycle. The work of Neil Postman has returned to the conversation following Donald Trump’s election, with commentators wondering about Postman’s hypothesis about the American capacity to think, given the American penchant for distraction. Trump, and his informational cybercascade on Twitter, has served as a noisy media distraction from the central issue of Kaepernick’s protest.

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Following Trump’s lead, utilizing the opposing #takeaknee and #standfortheflag hashtags, Twitter users engaged in debate about what kneeling meant in relationship to patriotism and respect for the American flag, proving Sunstein’s point that if enough people blog (tweet) about something, it becomes believed. With that reinvention of truth, Kaepernick’s original reason for kneeling, police brutality, was lost in the chatter of hashtags associated with the protest.

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#Resist and #TheXFiles are most closely associated with #takeaknee, as well as #saturdaymorning. The disorganized nature of the associated hashtags shows a lack of narrative unity in response to Trump’s cascade. Sunstein points out that at a certain point during a cybercascade, people stop relying on their own thoughts and simply act on the “basis of the signals conveyed by others” (Sunstein, 84). David Duchovny’s tweet demonstrates this with its lack of commentary or engagement with the protest. 

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The counter #standfortheflag hashtag organises far more closely with the reframed debate. With #GodBlessAmerica and #BoycottNFL (and their variants), as well as the ever-present #MAGA, most closely associated with #standfortheflag it is easy to see how Trump can cause his Twitter follower base to mobilise and repeat his message. Helped along, as @commondefense points out, by Russian propaganda bots. 

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The presence of third-party actors “trolling harder” behaviour due to encountered resistance from the #takeaknee camp further assists in this fragmentation (Philips, 24-26). The troll is the repeating element, the looping hook used in the overplayed iPhone commercial, in Trump’s cybercascade. It furthers the concern that many of those who engage with Trump, his hashtags, and the #MAGA network on Twitter are not real at all, but rather bots adding to the background chatter to ensure that the original cascade becomes truth.

In his work Bowling Alone, Robert Putnam expands on this debate further, speaking to the dependence on relationships of trust and reciprocity (Putnam, 27) in order to create a civil society. Twitter, one could argue, erodes those trusting, reciprocal relationships by engaging in what Sunstein warned was a tendency towards like-minded individuals to contribute toward fragmentation in online spaces (Sunstein, 145). The Atlantic recently asked why Americans are post-truth. “The short answer is because we’re Americans—because being American means we can believe anything we want; that our beliefs are equal or superior to anyone else’s, experts be damned” (Andersen). Donald Trump’s believes his views are superior to everyone else’s. He cascaded his version of the truth, reframing protest about police violence into a debate about patriotism. And, in reaction to his doing so, the NFL and media response sanitized the kneeling protest, silencing Kaepernick’s original protest into something clean and all-inclusive.


References

Andersen, K., 2007. How America Lost Its Mind. The Atlantic. September 2017. Accessed 29 September 2017.

Phillips, W., 2015. This is Why We Can't Have Nice Things: Mapping the Relationship Between Online Trolling and Mainstream Culture. Cambridge: The MIT Press. 

Putnam, R., 2000. Bowling Alone. New York: Simon and Schuster.

Sunstein, C., 2009. Republic.com 2.0. Princeton: Princeton University Press.


 

McDowell-Naylor: Public-Making and the Development of Connected Autonomous Vehicles in the UK

Do join to hear Declan McDowell-Naylor talk about his research at the first of the Department of Politics and International Relations' PhD seminar series this term. 

Time: Wednesday 4 October, 12-1pm

Place: FW101

Outline

This paper explores various forms of ‘public-making’ practice observed during an eighteen-month ethnographic study of the development of connected and autonomous vehicles (CAVs) in the United Kingdom (UK). The term public-making practices refers to ways of “assembling publics and of gauging their will or opinion” (Barry, 2013, 98) which in turn generates “empirical knowledge about publics, their opinions and concerns (ibid., 99). I argue that there is a pressing need to understand the observable role of public-making in the development of CAVs, under the normative and analytic terms of a politics of technology that speaks to both power-relations and democracy. In this area, Philip Howard (2015) has, for example, argued for purposeful civic engagement with the governments and businesses developing the Internet of Things (IoT), to help build what he terms a ‘democracy of our own devices’. However, despite an enormous range of popular debate about connected and autonomous vehicles in recent years, often focusing on the headline-friendly misnomer “driverless cars”, academic research focusing on political and social understandings of CAV development remains forthcoming. In response to this, I argue that CAV development can be located within the fields of science and technology studies (STS), political communication, and political theory. The conceptual themes and devices, empirical focuses applied to CAV development, and the research methods used in this analysis are derived from approaches jointly adopted from these fields. Ultimately, in terms of both democratic politics and power-relations, the analysis provides an overall picture that has some normative grounds for optimism. However, uncertainties persist about its viability into the future, due to evolving organizational structures, media effects, and the broader, macro-political consequences of issues such as Britain’s exit from the European Union. This paper contributes empirical findings about public engagement with the development of digital and automated technologies at a key time for internet research, as the technical advancements brought about developments such as the IoT pose complex political questions, including those raised by Howard (2015). In response, this paper sheds light on key political and social processes and highlights how standardized digital and automated technology applications are emerging in relation to the role of the public.