Framing and localizing anti-corruption norms in transnational civil society organizations: Transparency International in Portugal

Lang, Bertram

doi:10.1080/17448689.2021.1925405

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…For social movements that use efficacy cues, they can serve as 'motivational frames' and increase people's expectations about the success of the movement (Benford & Snow, 2000). Also, for anti-corruption, such figurative 'call to arms' can bolster mobilization across countries (Lang, 2021). Thus, we assess the impact of Tweets in which efficacy cues are existent (vs. absent) on people's engagement in collection action against corruption.…”

Section: Efficacy Cuesmentioning

confidence: 99%

Algorithms against Corruption: A Conjoint Study on Designing Automated Twitter Posts to Encourage Collective Action

Starke¹,

Kieslich²,

Reichert³

et al. 2023

Preprint

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Digital technologies offer new communicative affordances to fight corruption. Bottom-up efforts increasingly use algorithmic tools, i.e., bots, to automate corruption reporting on social media platforms. This study investigates how to design a bot to effectively and responsibly mobilize people for collective action against corruption. In a large (n=1,331) pre-registered choice-based conjoint survey, we test six message design features: type of injustice, degree of injustice, anger, political partisanship, gender, and efficacy cues. Our results show that calling out cases of severe corruption mobilized people against corruption effectively. We find no empirical support for in-group favoritism based on political affiliation and gender. Yet, some commonly used design features can have contrasting effects on different audiences. We call for more social science research accompanying the technical development of algorithmic tools to fight corruption.

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Section: Efficacy Cuesmentioning

confidence: 99%