Big Questions for Social Media Big Data Ignacio Penas 27/03/2020 - PowerPoint PPT Presentation

Big Questions for Social Media Big Data Ignacio Penas 27/03/2020

Big data for human behaviour study Scientific method Social study method Model organism problem u Dependent variable selection u Vague sampling u Single platform studies u … u

What can we infer from social big data? Online hidden meanings Unmodalable actions

Methodological Considerations Key points for Social Behavior analysis with big data

Twitter as the Field’s Drosophilia Melanogaster Model organisms Why Twitter? Describe why is twitter so widely u used

Features analyses Hashtag analyses I. Affected by user activity I. Dependent variable selection II. III. Selection effects IV. User choices

The Missing Ecology for the Denominator Platform Data normalization Platform information segregation u u Non-registered visits Curated information in u u intermediaries to provide validity Entire population vs Sampling u to the data group Twitter #rt #rt Broadcast FB Media #users #seen Face2Face Cell-phone

Inferences and Interpretations Examination of inference concept for socual media big data interpretation

Understanding the data Retweet interpretations u Affirmation Denunciation Approval Rejection Sarcarsm

u Subtweeting u Screen capture discusions u Hate-linking Invisible Engagement

Methodological Field effects limits Method importing difficulty Non-networks interactions u u Epidemiological analyses Sudden big impacts vs slow (or not u u connected to social media so slow) spread of virus networks Tunisian revolution effect over the u Physical proximity Egiptian u Real meaning depends on context u (space and time)

Target non-social I. dependent variables Conclusions Quialitative pull-outs II. III. Baseline panels IV. Industry Outreach Multi-disciplinary teams V. VI. Methodological awareness

Thank you!