Emotions and dialogue in a peer-production community: the case of Wikipedia
|Conference paper (help)|
|Emotions and dialogue in a peer-production community: the case of Wikipedia|
|Authors:||David Laniado, Carlos Castillo, Andreas Kaltenbrunner, Mayo Fuster Morell|
|Citation:||WikiSym '12 - 8th International Symposium on Wikis and Open Collaboration, Linz, Austria : 2012|
|Database(s):||Google Scholar cites|
|Web:||DuckDuckGo Bing Google Yahoo! — Google PDF|
|Article:||Google Scholar PubMed|
|Restricted:||DTU Digital Library|
Slides are available from Slideshare .
English Wikipedia where 871.485 was article talk pages (ATP) with a total of over 11 million comments.
Over 12.000 users had more than 100 comments on ATP.
- Gender labeling
- with Wikipedia API for around 2.000 of the around 12.000 prolific ATP
- 1385 users labeled with Crowdflower.
- Text sentiment analysis with ANEW: both valence, arousal and dominance.
- There was a low correlation (r=0.10, p<10-8) with the logarithm of the edit count and the "dominance"
- Admins were slightly more positive than non-admins. (Though no difference between female admins and non-admins)
- Women had higher valence and dominance.
- There is a difference in valence between different topic categories, e.g., computing and arts have high valence while politics, history and events has low. (Figure 4)
- Females and admins would more often add links to Wikipedia policies.
- Females write longer messages, especially female admins.
- Answers tend to be more positive and with more dominance.
- Homophily: (slide 29)
- Gender: Females tend to interact with other females.
- Users tend to interact more with users expressing similar emotions.
- Emotions on the own personal page:
- Women express more emotion: higher valence, arousal, dominance
- Male admins more positive, dominance but less arousal.
- Comments received on personal pages more positive
For only 50% of the users the gender could be identified.
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