Authors / roleHamed Ahmadinia
Date / period1 September 2024-31 August 2028
StatusACTIVE
Project period1 September 2024-31 August 2028
Participants / unitsDigital-trace research; no directly recruited human participants in the current YouTube strand. The analytical corpus contains 473 English-language YouTube video–article records, linked to 220 retracted article DOIs and 306 YouTube channels. Evidence includes video titles, tags, channel titles and descriptions, transcripts, upload dates, retraction dates, views, likes, comments, and article-level Altmetric Attention Scores. 208 records were uploaded before retraction and 265 on or after retraction. The underlying study retrieves transcripts with Python, compares upload and retraction dates, applies rule-based correction-signal coding across several YouTube information layers, and validates the automated labels against independent manual coding.
MethodsAltmetrics & scientometrics; Python transcript retrieval; Rule-based content classification; Manual coding validation; Retraction-timing analysis; Descriptive exposure analysis
Data sources473 YouTube video–article records; 220 retracted article DOIs; 306 YouTube channels
Project pageOpen project page
Project period: 1 September 2024-31 August 2028.
Funder: Research Council of Finland. Funding decision: 363335.
Principal investigator / team leader: Kim Holmberg. Hamed Ahmadinia’s role: Senior Researcher.
The project investigates how unreliable scientific information spreads and is amplified online, and how retracted scientific articles can influence public perceptions, attitudes, trust and evidence-informed decision-making.
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