Emergence of Things Felt: Harnessing the Semantic Space of Facebook Feeling Tags

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    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 languageEnglish
    Title of host publicationProceedings of the Thirty Sixth International Conference on Information Systems. ICIS 2015
    EditorsTraci Carte, Armin Heinzl, Cathy Urquhart
    Number of pages20
    Place of PublicationAtlanta, GA
    PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publication date2015
    ISBN (Print)9780996683111
    Publication statusPublished - 2015
    Event2015 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 201516 Dec 2015
    Conference number: 36


    Conference2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015
    LocationFort Worth Convention Center
    Country/TerritoryUnited States
    CityFort Worth, Texas
    Internet address
    SeriesProceedings of the International Conference on Information Systems


    • Facebook
    • Feelings
    • Sentiment analysis
    • Arousal
    • Social media
    • Marketing

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