Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide

Online Social Networks and Media

Volumn 1, Issue , 2017, Pages 33-43

  Karamshuk, Dmytro ^a   Shaw, Frances ^b   Brownlie, Julie ^b   Sastry, Nishanth ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Crowd sourcing; Crowdflower; Emotional distress; High profile suicides; Natural language processing; Public empathy; Social media; Social science

Indexed keywords

BEHAVIORAL RESEARCH; CROWDSOURCING; LARGE DATASET; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL SCIENCES;

CROWDFLOWER; EMOTIONAL DISTRESS; HIGH-PROFILE SUICIDES; NATURAL LANGUAGE PROCESSING; PUBLIC EMPATHY; SOCIAL MEDIA;

SOCIAL NETWORKING (ONLINE);

EID: 85050491268     PISSN: None     EISSN: 24686964     Source Type: Journal    
DOI: 10.1016/j.osnem.2017.01.002     Document Type: Article

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