TY - JOUR A1 - Darius, Philipp A1 - Urquhart, Michael T1 - Disinformed social movements: A large-scale mapping of conspiracy narratives as online harms during the COVID-19 pandemic JF - Online Social Networks and Media N2 - The COVID-19 pandemic caused high uncertainty regarding appropriate treatments and public policy reactions. This uncertainty provided a perfect breeding ground for spreading conspiratorial anti-science narratives based on disinformation. Disinformation on public health may alter the population’s hesitance to vaccinations, counted among the ten most severe threats to global public health by the United Nations. We understand conspiracy narratives as a combination of disinformation, misinformation, and rumour that are especially effective in drawing people to believe in post-factual claims and form disinformed social movements. Conspiracy narratives provide a pseudo-epistemic background for disinformed social movements that allow for self-identification and cognitive certainty in a rapidly changing information environment. This study monitors two established conspiracy narratives and their communities on Twitter, the anti-vaccination and anti-5G communities, before and during the first UK lockdown. The study finds that, despite content moderation efforts by Twitter, conspiracy groups were able to proliferate their networks and influence broader public discourses on Twitter, such as #Lockdown in the United Kingdom. KW - Disinformation, Conspiracy theory, Anti-vaccination, Anti-5G, Social network analysis, COVID-19, Social movements, Twitter, Public health, Trust in government Y1 - 2021 U6 - https://doi.org/10.1016/j.osnem.2021.100174 VL - 26 ER - TY - CHAP A1 - Darius, Philipp A1 - Stephany, Fabian T1 - How the Far-Right Polarises Twitter: ‘Hashjacking’ as a Disinformation Strategy in Times of COVID-19 T2 - Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1016 N2 - Twitter influences political debates. Phenomena like fake news and hate speech show that political discourses on social platforms can become strongly polarised by algorithmic enforcement of selective perception. Some political actors actively employ strategies to facilitate polarisation on Twitter, as past contributions show, via strategies of ‘hashjacking’(The use of someone else’s hashtag in order to promote one’s own social media agenda.). For the example of COVID-19 related hashtags and their retweet networks, we examine the case of partisan accounts of the German far-right party Alternative für Deutschland (AfD) and their potential use of ‘hashjacking’ in May 2020. Our findings indicate that polarisation of political party hashtags has not changed significantly in the last two years. We see that right-wing partisans are actively and effectively polarising the discourse by ‘hashjacking’ COVID-19 related hashtags, like #CoronaVirusDE or #FlattenTheCurve. This polarisation strategy is dominated by the activity of a limited set of heavy users. The results underline the necessity to understand the dynamics of discourse polarisation, as an active political communication strategy of the far-right, by only a handful of very active accounts. KW - COVID-19 Hashtags Networks Political communication strategies #CoronaVirusDE #FlattenTheCurve Y1 - 2022 SN - 978-3-030-93413-2 SN - 978-3-030-93412-5 U6 - https://doi.org/10.1007/978-3-030-93413-2_9 SP - 100 EP - 111 PB - Springer CY - Cham ER - TY - JOUR A1 - Stephany, Fabian A1 - Neuhäuser, Leonie A1 - Stoehr, Niklas A1 - Darius, Philipp A1 - Teutloff, Ole A1 - Braesemann, Fabian T1 - The CoRisk-Index: A Data-Mining Approach to Identify Industry-Specific Risk Perceptions Related to Covid-19 JF - Humanities and Social Sciences Communications N2 - The global spread of Covid-19 has caused major economic disruptions. Governments around the world provide considerable financial support to mitigate the economic downturn. However, effective policy responses require reliable data on the economic consequences of the corona pandemic. We propose the CoRisk-Index: a real-time economic indicator of corporate risk perceptions related to Covid-19. Using data mining, we analyse all reports from US companies filed since January 2020, representing more than a third of the US workforce. We construct two measures—the number of ‘corona’ words in each report and the average text negativity of the sentences mentioning corona in each industry—that are aggregated in the CoRisk-Index. The index correlates with U.S. unemployment rates across industries and with an established market volatility measure, and it preempts stock market losses of February 2020. Moreover, thanks to topic modelling and natural language processing techniques, the CoRisk data provides highly granular data on different dimensions of the crisis and the concerns of individual industries. The index presented here helps researchers and decision makers to measure risk perceptions of industries with regard to Covid-19, bridging the quantification gap between highly volatile stock market dynamics and long-term macroeconomic figures. For immediate access to the data, we provide all findings and raw data on an interactive online dashboard. Y1 - 2022 U6 - https://doi.org/10.1057/s41599-022-01039-1 VL - 9 IS - 1 ER - TY - INPR A1 - Darius, Philipp A1 - Stephany, Fabian T1 - How the Far-Right Polarises Twitter: 'Highjacking' Hashtags in Times of COVID-19 N2 - Twitter influences political debates. Phenomena like fake news and hate speech show that political discourse on micro-blogging can become strongly polarised by algorithmic enforcement of selective perception. Some political actors actively employ strategies to facilitate polarisation on Twitter, as past contributions show, via strategies of 'hashjacking'. For the example of COVID-19 related hashtags and their retweet networks, we examine the case of partisan accounts of the German far-right party Alternative für Deutschland (AfD) and their potential use of 'hashjacking' in May 2020. Our findings indicate that polarisation of political party hashtags has not changed significantly in the last two years. We see that right-wing partisans are actively and effectively polarising the discourse by 'hashjacking' COVID-19 related hashtags, like #CoronaVirusDE or #FlattenTheCurve. This polarisation strategy is dominated by the activity of a limited set of heavy users. The results underline the necessity to understand the dynamics of discourse polarisation, as an active political communication strategy of the far-right, by only a handful of very active accounts. KW - COVID-19 KW - Far-Right KW - Hashjacking KW - Hashtag KW - Networks Y1 - 2020 U6 - https://doi.org/10.31235/osf.io/n6f3r ER - TY - RPRT A1 - Stephany, Fabian A1 - Stoehr, Niklas A1 - Darius, Philipp A1 - Neuhäuser, Leonie A1 - Teutloff, Ole A1 - Braesemann, Fabian T1 - The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time T2 - General Economics (econ.GN) N2 - While the coronavirus spreads, governments are attempting to reduce contagion rates at the expense of negative economic effects. Market expectations plummeted, foreshadowing the risk of a global economic crisis and mass unemployment. Governments provide huge financial aid programmes to mitigate the economic shocks. To achieve higher effectiveness with such policy measures, it is key to identify the industries that are most in need of support. In this study, we introduce a data-mining approach to measure industry-specific risks related to COVID-19. We examine company risk reports filed to the U.S. Securities and Exchange Commission (SEC). This alternative data set can complement more traditional economic indicators in times of the fast-evolving crisis as it allows for a real-time analysis of risk assessments. Preliminary findings suggest that the companies' awareness towards corona-related business risks is ahead of the overall stock market developments. Our approach allows to distinguish the industries by their risk awareness towards COVID-19. Based on natural language processing, we identify corona-related risk topics and their perceived relevance for different industries. The preliminary findings are summarised as an up-to-date online index. The CoRisk-Index tracks the industry-specific risk assessments related to the crisis, as it spreads through the economy. The tracking tool is updated weekly. It could provide relevant empirical data to inform models on the economic effects of the crisis. Such complementary empirical information could ultimately help policymakers to effectively target financial support in order to mitigate the economic shocks of the crisis. KW - COVID-19 KW - Coronavirus KW - Economic risk KW - Risk reports KW - SEC filings Y1 - 2020 UR - https://arxiv.org/abs/2003.12432v3 ER - TY - CHAP A1 - Darius, Philipp A1 - Stephany, Fabian ED - Weber (et al.), Ingmar T1 - “Hashjacking” the Debate: Polarisation Strategies of Germany’s Political Far-Right on Twitter T2 - Social Informatics. SocInfo 2019. Lecture Notes in Computer Science, vol 11864 N2 - Twitter is a digital forum for political discourse. The emergence of phenomena like fake news and hate speech has shown that political discourse on micro-blogging can become strongly polarised by algorithmic enforcement of selective perception. Recent findings suggest that some political actors might employ strategies to actively facilitate polarisation on Twitter. With a network approach, we examine the case of the German far-right party Alternative für Deutschland (AfD) and their potential use of a “hashjacking” strategy (The use of someone else’s hashtag in order to promote one’s own social media agenda.). Our findings suggest that right-wing politicians (and their supporters/retweeters) actively and effectively polarise the discourse not just by using their own party hashtags, but also by “hashjacking” the political party hashtags of other established parties. The results underline the necessity to understand the success of right-wing parties, online and in elections, not entirely as a result of external effects (e.g. migration), but as a direct consequence of their digital political communication strategy. KW - Hashtags KW - Networks KW - Political communication strategies Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-34971-4_21 SN - 978-3-030-34971-4 VL - 11846 SP - 298 EP - 308 PB - Springer CY - Cham ER - TY - JOUR A1 - Cowls, Josh A1 - Darius, Philipp A1 - Santistevan, Dominiquo A1 - Schramm, Moritz T1 - Constitutional metaphors: Facebook’s “supreme court” and the legitimation of platform governance JF - New Media and Society N2 - Who governs—and who should govern—online communication? Social media companies, international organizations, users, or the state? And by what means? A range of rhetorical devices have been used to simplify the complexities associated with the governance of online platforms. This includes “constitutional metaphors”: metaphorical allusions to traditional political concepts such as statehood, democracy, and constitutionalism. Here, we empirically trace the ascent of a powerful constitutional metaphor currently employed in the news media discourse on platform governance: characterizations of Facebook’s Oversight Board (OB) as a “supreme court.” We investigate the metaphor’s descriptive suitability and question its normative and political ramifications. We argue that uncritical characterizations of the OB as Facebook’s “supreme court” obscure its true scope and purpose. In addition, we argue that appropriating the socio-cultural symbolism and hence political legitimacy of a supreme court and mapping it onto a different type of actor poses a threat to responsible platform governance. KW - constitutional metaphors KW - content analysis KW - digital constitutionalism KW - Oversight Board KW - platform governance Y1 - 2022 UR - https://journals.sagepub.com/doi/pdf/10.1177/14614448221085559 U6 - https://doi.org/10.1177/14614448221085559 ER - TY - JOUR A1 - Gibson, Rachel A1 - Bon, Esmeralda A1 - Darius, Philipp A1 - Smyth, Peter T1 - Are Online Political Influencers Accelerating Democratic Deconsolidation? JF - Media and Communication N2 - Social media campaigning is increasingly linked with anti-democratic outcomes, with concerns to date centring on paid adverts, rather than organic content produced by a new set of online political influencers. This study systematically compares voter exposure to these new campaign actors with candidate-sponsored ads, as well as established and alternative news sources during the US 2020 presidential election. Specifically, we examine how far higher exposure to these sources is linked with key trends identified in the democratic deconsolidation thesis. We use data from a national YouGov survey designed to measure digital campaign exposure to test our hypotheses. Findings show that while higher exposure to online political influencers is linked to more extremist opinions, followers are not disengaging from conventional politics. Exposure to paid political ads, however, is confirmed as a potential source of growing distrust in political institutions. Y1 - 2023 U6 - https://doi.org/10.17645/mac.v11i3.6813 SN - 2183-2439 VL - 11 IS - 3 ER - TY - RPRT A1 - Darius, Philipp A1 - Stockmann, Daniela A1 - Bryson, Joanna A1 - Cingolani, Luciana A1 - Griffin, Rachel A1 - Hammerschmid, Gerhard A1 - Kupi, Maximilian A1 - Mones, Haytham A1 - Munzert, Simon A1 - Riordan, Rónán A1 - Stockreiter, Simona T1 - Implementing Data Access of the Digital Services Act: Collaboration of European Digital Service Coordinators and Researchers in Building Strong Oversight over Social Media Platforms N2 - The EU Digital Service Acts signals a move away from self-regulation towards co-regulation of social media platforms within the European Union. To address online harms and rising platform power the DSA clarifies responsibilities of platforms and outlines a new technology regulatory framework to increase oversight. One key oversight instrument constitutes Article 40 of the DSA, which lays out data access for vetted researchers, who add value to regulators and the broader public as creators of knowledge, educators, advisors, innovators, and watchdogs. Currently, the EU Commission and national governments make important decisions regarding Digital Service Coordinators (DSCs) that play a key role in implementation. Based on expertise on European public administration and political science we lay out key challenges and success factors of DSCs that will play a role in promoting successful cooperation between DSCs and researchers. We provide three recommendations: First, we recommend to strengthen transfer of scientific knowledge into policy-making by processing publicly accessible publications within public administrative bodies. To this end, capacities of DSCs need to be increased. In addition, we also point towards the database of vetted researchers collected by the Board of DSCs as important resource in order to strengthen knowledge transfer. Second, the DSC network requires agile institutions with fast response time in order to enable researchers to play a constructive role in implementation. This also includes institutional procedures between DSCs and the Intermediary Body and Data Protection Agencies. To avoid delay in implementation agile institution-building needs to start now. Finally, institutional safeguards will help to avoid strategic choice of companies of the DSC of establishment. At the same time, the Irish DSC's capacity should be strengthened compared to other national DSCs since most large intermediary services providers have their European headquarters in Ireland. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b1570-opus4-49479 ER - TY - JOUR A1 - Darius, Philipp T1 - Who polarizes Twitter? Ideological polarization, partisan groups and strategic networked campaigning on Twitter during the 2017 and 2021 German Federal elections 'Bundestagswahlen' JF - Social Network Analysis and Mining N2 - Political campaign activities are increasingly digital. A crucial part of digital campaigning is communication efforts on social media platforms. As a forum for political discourse and political communication, parties and candidates on Twitter share public messages and aim to attract media attention and persuade voters. Party or prominent candidate hashtags are a central element of the campaign communication strategy since journalists and citizens search for these hashtags to follow the current debate concerning the hashed party or political candidate. Political elites and partisans use social media strategically, e.g., to link their messages to a broader debate, increase the visibility of messages, criticize other parties, or take over their hashtags (hashjacking). This study investigates the cases of the most recent 2017 and 2021 German federal elections called 'Bundestagswahlen'. The investigation (1) identifies communities of partisans in retweet networks in order to analyze the polarization of the most prominent hashtags of parties, 2) assesses the political behavior by partisan groups that amplify messages by political elites in these party networks, and 3) examines the polarization and strategic behavior of the identified partisan groups in the broader election hashtag debates using #BTW17 and #BTW21 as the prominent hashtags of the 2017 and 2021 elections. While in 2017, the far-right party 'Alternative für Deutschland' (AfD) and its partisans are in an isolated community, in 2021, they are part of the same community as the official party accounts of established conservative and liberal parties. This broader polarization may indicate changes in the political ideology of these actors. While the overall activity of political elites and partisans increased between 2017 and 2021, AfD politicians and partisans are more likely to use other party hashtags, which resulted in the polarization of the observed parts of the German political twitter sphere. While in 2017, the AfD polarized German Twitter, 2021 shows a broader division along the classical left–right divide. Y1 - 2022 U6 - https://doi.org/10.1007/s13278-022-00958-w VL - 12 ER -