Giving the outrage a name – how researchers are challenging employment conditions under the hashtags #IchBinHanna and #IchBinReyhan
Bibliographic Data
| ID | 20508307 |
|---|---|
| Authors | Ahmadou Wagne (0009-0009-9314-206X, TU Wien), Elen Le Foll (0000-0002-5839-8010, University of Cologne), Florentine Frantz (0000-0003-1695-6798, University of Vienna), Jon Lasser (0000-0002-4274-4580, University of Graz, corresponding author), Jana Lasser (University of Graz) |
| Year | 2025 |
| Volume | 28 |
| Issue | 9 |
| Pages | 1647-1673 |
| Publication date | 2025-07-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Communication & Society (JOURNAL) |
| Journal identifiers | ISSN: 1369-118X • E-ISSN: 1468-4462 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1369118x.2025.2452273 |
| OpenAlex | W4406607046 |
| Language | EN |
| Citations received | 2 |
| References cited | 45 |
Outraged by the release of a ministerial video in which short-term employment contracts in German academia were lauded through the embodiment of fictitious doctoral researcher Hanna, thousands of researchers rallied behind the hashtags #IchBinHanna & #IchBinReyhan to vent their frustrations about precarious academic employment in Germany. The emerging connective action attracted a comparatively large number of researchers in a short period of time, stayed active for over two years, elicited reactions from policymakers and the media, and influenced current legislative developments in Germany. We analyse the discourse of over 45,000 tweets related to the movement from its onset in June 2021 to March 2023. Using a mixed-methods approach that combines machine-learning, corpus-linguistic, and qualitative analysis methods, we aim to distil the factors that led to the movement’s considerable success. The fast growth of the movement was likely driven by the use of an easy-to-personalise action frame and the large variety of discussion topics, facilitating the involvement of different groups of academics across career levels and employment conditions. Our analysis of the linguistic characteristics of the discourse reveals largely positive, constructive, and active exchanges, in which many of the most salient keywords are lexical verbs. Our analyses offer an explanation for the continued involvement of many activists and the successful translation of solutions developed by the movement to news reports and proposed law amendments, despite an absence of coordination by any formal organisation
Epistemology · Internet privacy · Media studies · Outrage · Political science · Politics · Public relations · Sociology · Computational and Text Analysis Methods · Computer Science · Law · Media Studies and Communication · Philosophy · Social Media and Politics
Bedingungen der Wissensproduktion
Affective Publics
HashtagActivism
Occupy Wall Street on the Public Screens of Social Media: The Many Framings of the Birth of a Protest Movement
Quanteda
Hdbscan
Keyness analysis
Arousal Increases Social Transmission of Information
Using Twitter to mobilize protest action
Affective publics and structures of storytelling
Hijacking #myNypd
The Logic of Collective Action
Subjectivity, governance, and changing conditions of knowledge production in the life sciences
An integrative framework on the impact of allies
Verbs as linguistic markers of agency
Unsustainable Growth, Hyper-Competition, and Worth in Life Science Research
Living with the H-Index? Metric Assemblages in the Contemporary Academy
Narrative Agency in Hashtag Activism
The Logic of Connective Action
On the Tacit Governance of Research by Uncertainty
With #IchBinHanna, German academia protests against a law that forces researchers out
A Topology of Twitter Tactics
The Conceptualization of Digitally Networked Participation
The Making of the Academic Precariat
Workers' Power in Resisting Precarity
Solidarity at Work
Computational Grounded Theory
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |