Engesser, 2015, Frequency or skillfulness: How professional news media use Twitter in five western countries, J. Stud.
Stier, 2018, Election campaigning on social media: Politicians, audiences, and the mediation of political communication on facebook and Twitter, Political Commun., 10.1080/10584609.2017.1334728
S. Hölig, U. Hasebrink, Ergebnisse für Deutschland, Reuters Institute Digital News Report 2019, 2018.
Zannettou, 2019, The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans, J. Data Inf. Qual., 10.1145/3309699
Ernst, 2017, Extreme parties and populism: An analysis of facebook and Twitter across six countries, Inf. Commun. Soc., 10.1080/1369118X.2017.1329333
Barberá, 2015, Tweeting from left to right: Is online political communication more than an echo chamber?, Psychol. Sci., 10.1177/0956797615594620
Boutyline, 2017, The social structure of political echo chambers: Variation in ideological homophily in online networks, Political Psychol., 10.1111/pops.12337
Colleoni, 2014, Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data, J. Commun., 10.1111/jcom.12084
Boczkowski, 2018, News comes across when i’m in a moment of leisure: Understanding the practices of incidental news consumption on social media, New Media Soc., 10.1177/1461444817750396
Ardèvol-Abreu, 2019, Antecedents of internal political efficacy incidental news exposure online and the mediating role of political discussion, Politics, 10.1177/0263395717693251
Wineburg, 2016, Evaluating information: The cornerstone of civic online reasoning, Stanf. Digital Repository
Lazer, 2009, Computational social science, Science, 10.1126/science.1167742
S. Roos, B. Schiller, S. Hacker, T.S. trufe, Measuring Freenet in the Wild: Censorship-resilience under Observation, in: PETS, 2014.
Kwak, 2010, What is Twitter, a social network or a news media?
A. Pal, S. Counts, Identifying topical authorities in microblogs, in: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, 2011.
R. Cohen, D. Ruths, Classifying political orientation on Twitter: It’s not easy!, in: Proceedings of the International AAAI Conference on Web and Social Media, 2013.
Genc, 2011, Discovering context: Classifying tweets through a semantic transform based on wikipedia
C. Budak, A. Kannan, R. Agrawal, J. Pedersen, Inferring user interests from microblogs, in: Proceedings of the International AAAI Conference on Web and Social Media, 2014.
G. Di Tommaso, S. Faralli, G. Stilo, P. Velardi, Wiki-MID: A very large multi-domain interests dataset of Twitter users with mappings to wikipedia, in: International Semantic Web Conference, 2018.
Faralli, 2015, Large scale homophily analysis in Twitter using a twixonomy
Himelboim, 2013, Tweeting apart: Applying network analysis to detect selective exposure clusters in Twitter, Commun. Methods Measures, 10.1080/19312458.2013.813922
Jin, 2013, Understanding user behavior in online social networks: A survey, IEEE Commun. Mag.
Schulz, 2015, Small-scale incident detection based on microposts
C. Wilson, B. Boe, A. Sala, K.P. Puttaswamy, B.Y. Zhao, User interactions in social networks and their implications, in: Proceedings of the 4th ACM European Conference on Computer Systems, EuroSys ’09, 2009.
M.D. Conover, J. Ratkiewicz, M. Francisco, B. Gonçalves, F. Menczer, A. Flammini, Political polarization on Twitter, in: Proceedings of the International AAAI Conference on Web and Social Media, 2011.
Boutet, 2013, What’s in Twitter, I know what parties are popular and who you are supporting now!, Soc. Netw. Anal. Min., 10.1007/s13278-013-0120-1
A. Feller, M. Kuhnert, T.O. Sprenger, I.M. Welpe, Divided they tweet: The network structure of political microbloggers and discussion topics, in: Proceedings of the International AAAI Conference on Web and Social Media, 2011.
Nguyen, 2020, Echo chambers and epistemic bubbles, Episteme, 10.1017/epi.2018.32
Orellana-Rodriguez, 2017, Spreading one’s tweets: How can journalists gain attention for their tweeted news?, J. Web Sci., 10.1561/106.00000009
Reuters, 2013
France-Presse, 2013, AFP updates guidelines on using social media, AFP Newsletter [Online]
2013
Scheffler, 2014, A German Twitter snapshot
Goldhahn, 2012, Building large monolingual dictionaries at the leipzig corpora collection: From 100 to 200 languages
F. Morstatter, Y. Shao, A. Galstyan, S. Karunasekera, From alt-right to alt-rechts: Twitter analysis of the 2017 german federal election, in: Companion Proceedings of the the Web Conference 2018, 2018.
Pavliy, 2016, The performance of Twitter’s language detection algorithm and google’s compact language detector on language detection in Ukrainian and Russian tweets, Bull. Toyama Univ. Int. Stud.
Pflugmacher, 2020, The German-speaking Twitter community reference data set
Majó-Vázquez, 2021, The role of suspended accounts in political discussion on social media: Analysis of the 2017 French, UK and German elections, Soc. Media+ Society, 10.1177/20563051211027202
J. Echeverria, E. De Cristofaro, N. Kourtellis, I. Leontiadis, G. Stringhini, S. Zhou, LOBO: Evaluation of generalization deficiencies in Twitter bot classifiers, in: Proceedings of the 34th Annual Computer Security Applications Conference, 2018.
Rauchfleisch, 2020
Riquelme, 2016, Measuring user influence on Twitter: A survey, Inf. Process. Manage., 10.1016/j.ipm.2016.04.003
M. Cha, H. Haddadi, F. Benevenuto, K.P. Gummadi, Measuring user influence in Twitter: The million follower fallacy, in: Proceedings of the International AAAI Conference on Web and Social Media, 2010.
Van de Mortel, 2008, Faking it: Social desirability response bias in self-report research, Australian J. Adv. Nurs.
Hawkins, 2019
P. Metaxas, E. Mustafaraj, K. Wong, L. Zeng, M. O’Keefe, S. Finn, What do retweets indicate? Results from user survey and meta-review of research, in: Proceedings of the International AAAI Conference on Web and Social Media, 2015.
Gadek, 2017, Topical cohesion of communities on Twitter, Procedia Comput. Sci., 10.1016/j.procs.2017.08.171
Blondel, 2008, Fast unfolding of communities in large networks, J. Stat. Mech. Theory Exp., 10.1088/1742-5468/2008/10/P10008
Fortunato, 2007, Resolution limit in community detection, Proc. Natl. Acad. Sci. USA, 10.1073/pnas.0605965104
Reichardt, 2007, Partitioning and modularity of graphs with arbitrary degree distribution, Phys. Rev. E, 10.1103/PhysRevE.76.015102
Wang, 2012, Forcing a breakdown: Establishing the limits of community detection algorithms
Newman, 2004, Fast algorithm for detecting community structure in networks, Phys. Rev. E
Clauset, 2004, Finding community structure in very large networks, Phys. Rev. E, 10.1103/PhysRevE.70.066111
Lancichinetti, 2010, Characterizing the community structure of complex networks, PLoS One, 10.1371/journal.pone.0011976
Lancichinetti, 2014, Erratum: Community detection algorithms: A comparative analysis, Phys. Rev. E, 10.1103/PhysRevE.89.049902
Weischenberg, 2006, Journalismus in Deutschland 2005, Media Perspektiven
McPherson, 2001, Birds of a feather: Homophily in social networks, Annu. Rev. Sociol., 10.1146/annurev.soc.27.1.415
Zick, 2016, Gespaltene Mitte–Feindselige Zustände, Rechtsextreme Einstellungen in Deutschland
Bor, 2022, The psychology of online political hostility: A comprehensive, cross-national test of the mismatch hypothesis, Am. Political Sci. Rev., 10.1017/S0003055421000885
Brady, 2017, Emotion shapes the diffusion of moralized content in social networks, Proc. Natl. Acad. Sci., 10.1073/pnas.1618923114
Rathje, 2021, Out-group animosity drives engagement on social media, Proc. Natl. Acad. Sci., 10.1073/pnas.2024292118
K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis, Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship, in: Proceedings of the 2018 World Wide Web Conference, 2018.
Moss, 2020, Political correctness and the alt-right: The development of extreme political attitudes, PLoS One, 10.1371/journal.pone.0239259
Lorenz-Spreen, 2021