Digitale Märkte und Öffentlichkeiten auf Plattformen
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- ItemIdeological differences in engagement in public debate on Twitter(2021) Gaisbauer, Felix; Pournaki, Armin; Banisch, Sven; Olbrich, Eckehard; Guidi, BarbaraThis article analyses public debate on Twitter via network representations of retweets and replies. We argue that tweets observable on Twitter have both a direct and mediated effect on the perception of public opinion. Through the interplay of the two networks, it is possible to identify potentially misleading representations of public opinion on the platform. The method is employed to observe public debate about two events: The Saxon state elections and violent riots in the city of Leipzig in 2019. We show that in both cases, (i) different opinion groups exhibit different propensities to get involved in debate, and therefore have unequal impact on public opinion. Users retweeting far-right parties and politicians are significantly more active, hence their positions are disproportionately visible. (ii) Said users act significantly more confrontational in the sense that they reply mostly to users from different groups, while the contrary is not the case.
- ItemTwitter Explorer: A Framework for Observing Twitter through Interactive Networks(2021) Pournaki, Armin; Gaisbauer, Felix; Banisch, Sven; Olbrich, EckehardWe present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and semantic networks. By lowering the technological barriers of data-driven research, it aims to attract researchers from various disciplinary backgrounds and facilitates new perspectives in the thriving field of computational social science.
- ItemHow to capture the relations and dynamics within the networked public sphere? Modes of interaction as a new concept(Nomos, 2022) Neuberger, Christoph; Krämer, Benjamin; Müller, Philipp
- ItemÖffentlich-rechtlicher Rundfunk und Plattformen: Programmatik, Prinzip, Praxis, Projekt(Nomos, 2022) Neuberger, Christoph; Gerlach, Frauke; Eilders, Christiane
- ItemGute Wissenschaftskommunikation in der digitalen Welt. Politische, ökonomische, technische und regulatorische Rahmenbedingungen ihrer Qualitätssicherung(Berlin-Brandenburgische Akademie der Wissenschaften, 2022) Weingart, Peter; Wormer, Holger; Schildhauer, Thomas; Fähnrich, Birte; Jarren, Otfried; Neuberger, Christoph; Passoth, Jan-Hendrik; Wagner, Gert G.Die Interdisziplinäre Arbeitsgruppe „Implikationen der Digitalisierung für die Qualität der Wissenschaftskommunikation“ der BBAW hat von 2018 bis 2021 untersucht, wie sich die Qualität der Wissenschaftskommunikation unter den Bedingungen der Digitalisierung verändert und welche Herausforderungen sich aus den Veränderungen für die aufgeklärte Meinungsbildung in der Demokratie ergeben. Im vorliegenden Heft erfolgt eine Beschreibung und Analyse der Kontextfaktoren von Wissenschaftskommunikation in der digitalen Medienumwelt, der damit verbundenen wissenschaftspolitischen Veränderungen, von medienökonomischen Faktoren für die Qualitätssicherung der Wissenschaftskommunikation und der soziotechnischen Veränderungen. Es werden zudem die Herausforderungen bei der Regulierung von Plattformen zur Qualitätssicherung von Wissenschaftskommunikation skizziert und Empfehlungen für Akteur:innen des Wissenschaftssystems sowie Gesetzgeber und Regulierer formuliert.
- ItemDigitale Öffentlichkeit und liberale Demokratie(Bundeszentrale für politische Bildung, 2022) Neuberger, Christoph; Bundeszentrale für politische Bildung
- ItemOSD2F: An Open-Source Data Donation Framework(2022) Araujo, Theo; Ausloos, Jef; van Atteveldt, Wouter; Loecherbach, Felicia; Moeller, Judith; Ohme, Jakob; Trilling, Damian; van de Velde, Bob; De Vreese, Claes H.; Welbers, Kasper
- ItemDigitale Öffentlichkeit und liberale Demokratie(2022) Neuberger, Christoph
- ItemInformation processing on smartphones in public versus private(2022) Ohme, Jakob; Searles, Kathleen; De Vreese, Claes H.People increasingly turn to news on mobile devices, often while out and about, attending to daily tasks. Yet, we know little about whether attention to and learning from information on a mobile differs by the setting of use. This study builds on Multiple Resource Theory (Wickens, 1984) and the Resource Competition Framework (Oulasvirta et al., 2005) to compare visual attention to a dynamic newsfeed, varying only the setting: private or public. We use mobile eye-tracking to evaluate the effects of setting on attention and assess correspondent learning differences after exposure to the feed, which allows us to uncover a relationship between attention and learning. Findings indicate higher visual attention to mobile newsfeed posts in public, relative to a private setting. Moreover, scrolling through news on a smartphone in public attenuates some knowledge gain but is beneficial for other learning outcomes.
- ItemExtracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach(2022) Fan, Yangliu; Lehmann, Sune; Blok, AndersAs science is becoming more interdisciplinary and potentially more data driven over time, it is important to investigate the changing specialty structures and the emerging intellectual patterns of research fields and domains. By employing a clustering-based network approach, we map the contours of a novel interdisciplinary domain – research using social media data – and analyze how the specialty structures and intellectual contributions are organized and evolve. We construct and validate a large-scale (N = 12,732) dataset of research papers using social media data from the Web of Science (WoS) database, complementing it with citation relationships from the Microsoft Academic Graph (MAG) database. We conduct cluster analyses in three types of citation-based empirical networks and compare the observed features with those generated by null network models. Overall, we find three core thematic research subfields – interdisciplinary socio-cultural sciences, health sciences, and geo-informatics – that designate the main epicenter of research interests recognized by this domain itself. Nevertheless, at the global topological level of all networks, we observe an increasingly interdisciplinary trend over the years, fueled by publications not only from core fields such as communication and computer science, but also from a wide variety of fields in the social sciences, natural sciences, and technology. Our results characterize the specialty structures of this domain at a time of growing emphasis on big social data, and we discuss the implications for indicating interdisciplinarity.
- ItemThe paradox of knowing more and less: Audience metrics and the erosion of epistemic standards on the internet(2022) Haim, Mario; Neuberger, Christoph
- ItemModelling Spirals of Silence and Echo Chambers by Learning from the Feedback of Others(2022) Banisch, Sven; Gaisbauer, Felix; Olbrich, EckehardWhat are the mechanisms by which groups with certain opinions gain public voice and force others holding a different view into silence? Furthermore, how does social media play into this? Drawing on neuroscientific insights into the processing of social feedback, we develop a theoretical model that allows us to address these questions. In repeated interactions, individuals learn whether their opinion meets public approval and refrain from expressing their standpoint if it is socially sanctioned. In a social network sorted around opinions, an agent forms a distorted impression of public opinion enforced by the communicative activity of the different camps. Even strong majorities can be forced into silence if a minority acts as a cohesive whole. On the other hand, the strong social organisation around opinions enabled by digital platforms favours collective regimes in which opposing voices are expressed and compete for primacy in public. This paper highlights the role that the basic mechanisms of social information processing play in massive computer-mediated interactions on opinions.
- ItemÖffentlich-rechtlicher Rundfunk und Plattformen: Programmatik, Prinzip, Praxis, Projekt(Nomos, 2022) Neuberger, Christoph; Gerlach, Frauke; Eilders, Christiane
- ItemMapping a Dark Space: Challenges in Sampling and Classifying Non-Institutionalized Actors on Telegram(2023) Jost, Pablo; Heft, Annett; Buehling, Kilian; Zehring, Maximilian; Schulze, Heidi; Bitzmann, Hendrik; Domahidi, Emese
- ItemSicherheit und Freiheit in der digitalen Öffentlichkeit(transcript, 2023) Neuberger, Christoph; Saam, Nicole J.; Bielefeldt, Heiner
- ItemThe digital transformation of knowledge order: a model for the analysis of the epistemic crisis(2023) Neuberger, Christoph; Bartsch, Anne; Fröhlich, Romy; Hanitzsch, Thomas; Reinemann, Carsten; Schindler, Johanna
- ItemMessage Deletion on Telegram: Affected Data Types and Implications for Computational Analysis(Taylor & Francis, 2023) Bühling, KilianEphemeral digital trace data can decrease the completeness, reproducibility, and reliability of social media datasets. Systematic post deletions thus potentially bias the results of computational methods used to map actors, content, and online information diffusion. Therefore, the aim of this study was to assess the extent and distribution of message deletion across different data types using data from the hybrid messenger service Telegram, which has experienced an influx of deplatformed users from mainstream social media platforms. A repeatedly scraped sample of messages from public Telegram groups and channels was used to investigate the effect of message ephemerality on the consistency of Telegram datasets. The findings revealed that message deletion introduces biases to the computational collection and analysis of Telegram data. Further, message ephemerality reduces dataset consistency, the quality of social network analyses, and the results of computational content analysis methods, such as topic modeling or dictionaries. The implications of these findings for scholars aiming to use Telegram data for computational research, possible solutions, and contributions to the methodological advancement of studying online political communication are discussed further in this article.
- ItemThe public sphere as a dynamic network(2023) Friemel, Thomas N.; Neuberger, Christoph
- ItemVarieties of antigenderism: the politicization of gender issues across three European populist radical right parties(2023) Reinhardt, Susanne; Heft, Annett; Pavan, ElenaThis research contributes to the study of populist radical right parties’ (PRRPs) role in gendered democratic backsliding by analyzing their articulation and symbolic representation of gender issues. We compare the politicization of gender issues across three European PRRPs, examining how context-specific gendered opportunity structures – the level of contestation of gender issues in their country, the resonance of antigenderism among their electorate, and their issue repertoire and historical trajectory – shape the extent and ways in which the German AfD, the Italian Lega and the Sweden Democrats politicize gender issues. We conduct a quantitative content analysis of PRRPs’ framing of gender issues and construct topic networks based on the parties’ Facebook and Twitter posts during the European Parliament election campaign 2019. We analyze the salience of gender issues, the broader topical context in which they are embedded, the specific gender issues addressed, and the parties’ positions on these issues. Our results show how context-specific gendered opportunities shape PRRPs’ national gender discourses: A low level of contestation, evidenced by a high public recognition and legal protection of gender and sexual equality, seems to foster a femonationalist framing, while antigenderist discourse is less pronounced in such a context. Instead, a higher level of contestation, expressed in a lower public recognition and legal protection of gender and sexual equality, seems to foster antigenderist discourse. A transnational femonationalist framing, shared by all analyzed parties, relates to a common nativist ideological core.
- ItemCan Fighting Misinformation Have a Negative Spillover Effect? How Warnings for the Threat of Misinformation Can Decrease General News Credibility(2023) Van Der Meer, Toni G. L. A.; Hameleers, Michael; Ohme, Jakob
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