Emotions behind drive-by download propagation on Twitter
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 109425102
- Type
- D - Journal article
- DOI
-
10.1145/3408894
- Title of journal
- ACM Transactions on the Web
- Article number
- 16
- First page
- -
- Volume
- 14
- Issue
- 4
- ISSN
- 1559-1131
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- URL
-
http://dx.doi.org/10.1145/3408894
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
C - Cybersecurity, privacy and human centred computing
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This was the first study to perform linguistic analysis of tweets to computationally model the relationship between emotional phrases in a tweet and the virality of malicious Web links on Twitter. Tested on over 250,000 tweets related to seven different sporting events, the paper shows statistically significant predictions that virality is associated with negative emotions expressed in tweets, especially fear. This was an interdisciplinary collaboration with Cardiff University’s School of Social Sciences, partly supported by a £1.2 million ESRC grant (ES/P008755/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -