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Judenfeindschaft als kulturelle Konstante und kollektiver Gefühlswert im digitalen Zeitalter (Kurzfassung) In welchen Manifestationen tritt Antisemitismus im 21. Jahrhundert in Erscheinung? Wie, wo und von wem werden judenfeindliche Inhalte artikuliert und verbreitet? Welche Stereotype werden kodiert, welche Argumente benutzt? Welche Rolle spielen Emotionen und irrationale Affektlogik beim aktuellen Einstellungs- und Verbalantisemitismus? Inwiefern hat das Internet die Verbreitung und Intensivierung von Antisemitismen akzeleriert und forciert? Wie lassen sich die modernen Ausprägungen des Judenhasses wissenschaftlich beschreiben, einordnen und erklären? Die vorliegende Langzeitstudie im Rahmen der empirischen Antisemitismusforschung zur Artikulation, Tradierung, Verbreitung und Manifestation von Judenhass im Internet hat sich mit diesen Fragen beschäftigt und quantitativ umfangreiche sowie inhaltlich detaillierte Untersuchungen vorgenommen.

Exposure to radicalizing information has been associated with support for violent extremism. It is, however, unclear whether specific information use behavior, namely, a distinct pattern of incidental exposure (IE) to and active selection (AS) of radicalizing content, indicates stronger violent extremist attitudes and radical action intentions. Drawing on a representative general population sample (N = 1509) and applying latent class analysis, we addressed this gap in the literature. Results highlighted six types of information use behavior. The largest group of participants reported a near to zero probability of both IE to and AS of radicalizing material. Two groups of participants were characterized by high or moderate probabilities of incidental exposure as well as a low probability of active selection of radicalizing content. The remaining groups displayed either low, moderate, or high probabilities of both IE and AS. Importantly, we showed between-group differences regarding violent extremist attitudes and radical behavioral intentions. Individuals reporting near zero or high probabilities for both IE to and AS of radicalizing information expressed the lowest and strongest violent extremist attitudes and willingness to use violence respectively. Groups defined by even moderate probabilities of AS endorsed violent extremism more strongly than those for which the probability for incidental exposure was moderate or high but AS of radicalizing content was unlikely.

Exposure to radicalizing information has been associated with support for violent extremism. It is, however, unclear whether specific information use behavior, namely, a distinct pattern of incidental exposure (IE) to and active selection (AS) of radicalizing content, indicates stronger violent extremist attitudes and radical action intentions. Drawing on a representative general population sample (N = 1509) and applying latent class analysis, we addressed this gap in the literature. Results highlighted six types of information use behavior. The largest group of participants reported a near to zero probability of both IE to and AS of radicalizing material. Two groups of participants were characterized by high or moderate probabilities of incidental exposure as well as a low probability of active selection of radicalizing content. The remaining groups displayed either low, moderate, or high probabilities of both IE and AS. Importantly, we showed between-group differences regarding violent extremist attitudes and radical behavioral intentions. Individuals reporting near zero or high probabilities for both IE to and AS of radicalizing information expressed the lowest and strongest violent extremist attitudes and willingness to use violence respectively. Groups defined by even moderate probabilities of AS endorsed violent extremism more strongly than those for which the probability for incidental exposure was moderate or high but AS of radicalizing content was unlikely.

VOX-Pol Blog post.

VOX-Pol Blog post.

Societal crises, such as the COVID-19 pandemic, produce societal instability and create a fertile ground for radicalization. Extremists exploit such crises by distributing disinformation to amplify uncertainty and distrust among the public. Based on these developments, this study presents a longitudinal analysis of far-right communication on fringe platforms, demonstrating radicalization dynamics. Public Telegram communication of three movements active in Germany (QAnon, Identitarian Movement, Querdenken) was analyzed through a quantitative content analysis of 4500 messages posted to nine channels between March 2020 and February 2021. We study the movements’ discourse using several indicators of radicalization dynamics. The increasing prevalence of conspiracy narratives, anti-elitism, political activism, and support for violence indicate radicalization dynamics in these movements’ online communication. However, these dynamics varied within the movements. It can be concluded that, when studying radicalization dynamics online, it is crucial to not just focus on one single indicator, but consider longitudinal changes across several indicators, ideally comparing different movements.