Abstract
In 2013 Facebook launched a feature allowing users to add a feeling tag to their posts. We have collected 18 months worth of such public posts. Our aim is to map the semantic space of ‘Facebook feelings’ to understand patterns in how feelings are tagged and how they can be described in terms of valence and arousal. Our findings reveal temporal and social patterns in the most commonly shared feelings. In line with the ‘exhibitional’ nature of Facebook, our analyses indicate that ‘extreme’ feelings, such as excitement and anger, may be expressed in even more extreme levels of both valence and arousal. Facebook also provides novel emotional scripts (e.g., “meh”) that help people express feelings in ways that traditionally socialized feelings do not. This understanding of the semantic space of ‘Facebook feelings’ ultimately serves to inform the development of an automatic ‘Feelings Meter’.
Original language | English |
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Title of host publication | Proceedings of the Thirty Sixth International Conference on Information Systems. ICIS 2015 |
Editors | Traci Carte, Armin Heinzl, Cathy Urquhart |
Number of pages | 20 |
Place of Publication | Atlanta, GA |
Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
Publication date | 2015 |
ISBN (Print) | 9780996683111 |
Publication status | Published - 2015 |
Event | 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015: Exploring the Information Frontier - Fort Worth Convention Center, Fort Worth, Texas, United States Duration: 13 Dec 2015 → 16 Dec 2015 Conference number: 36 http://icis2015.aisnet.org/ |
Conference
Conference | 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 |
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Number | 36 |
Location | Fort Worth Convention Center |
Country/Territory | United States |
City | Fort Worth, Texas |
Period | 13/12/2015 → 16/12/2015 |
Internet address |
Series | Proceedings of the International Conference on Information Systems |
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Volume | 36 |
ISSN | 0000-0033 |
Keywords
- Feelings
- Sentiment analysis
- Arousal
- Social media
- Marketing