遇见数据集

Expert Survey: AI-Driven Disinformation Threats and Countermeasures

收藏
Zenodo2026-09-30 更新2026-10-01 收录
官方服务:

资源简介:

Structured survey data from 54 domain experts in eight regions of primary professional activity on the threat landscape, mitigation effectiveness, and emerging risks of AI-driven disinformation. Wave 2 snapshot of 23 March 2026. The survey is longitudinal and cumulative: each wave reports the full sample collected to date, so Wave 2 includes all 21 Wave 1 respondents plus 33 new ones. The waves are not disjoint samples and the totals must not be added together. The split is reconstructible from the Timestamp column. This version replaces the response file with a privacy-reduced publication copy. Three identity columns are withheld and two free-text fields are generalized. No response was changed and no respondent was removed. The reason for the reduction is worth stating plainly, because it is a finding in its own right. 27 of the 54 respondents asked for anonymity, and the survey instrument honored that: name, affiliation and profile fields were left empty for them. What undercut it was a free-text field asking about recent activity, which all 27 filled in, with entries specific enough to identify the person. Identity columns are therefore withheld for every respondent and the activity field is categorized rather than quoted. One rule is applied to all 54, not two regimes. No claim of anonymity is made for the released file. The smallest role category contains two respondents, and a category of that size does not establish anonymity. Reusers are asked to treat the data accordingly. Collected as part of a doctoral dissertation on the AI-driven disinformation ecosystem at Frankfurt University of Applied Sciences. Licensing and access Released under CC BY 4.0. Copyright 2025-2026 Alexander Loth. No third-party material is contained in this deposit. Access is restricted because of the consent under which the responses were given: redistribution outside a requesting research context was not part of what respondents agreed to. A reuser who receives the file holds it under CC BY 4.0; the access conditions govern who receives it.

提供机构:
Zenodo
创建时间:
2026-09-30
二维码
社区交流群
二维码
科研交流群
商业服务