Assessment of an optimistic bias in social media messages

Suzana Bašić, Benthe S. Spijkers, J.W. Ouwerkerk, I.E. Vermeulen, G.M. van Koningsbruggen, A.S. Fokkens

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Consistent with psychological theory and research, in the present study we demonstrate that people display a generic optimistic bias by showing more positive sentiment in social media messages about the future rather than the past. In addition, we outline a method for evaluating the validity of the commercial monitoring tool used for the automated sentiment analysis, thereby assessing the usefulness of such a tool in web-based research into human behavior.
Original languageEnglish
Title of host publicationProceedings of the 10th ACM Conference on Web science
Subtitle of host publicationMain Conference Poster Session
EditorsIvar Vermeulen
Pages33-34
Number of pages2
Publication statusPublished - 2018

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human behavior
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social media
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Bašić, S., Spijkers, B. S., Ouwerkerk, J. W., Vermeulen, I. E., van Koningsbruggen, G. M., & Fokkens, A. S. (2018). Assessment of an optimistic bias in social media messages. In I. Vermeulen (Ed.), Proceedings of the 10th ACM Conference on Web science: Main Conference Poster Session (pp. 33-34)
Bašić, Suzana ; Spijkers, Benthe S. ; Ouwerkerk, J.W. ; Vermeulen, I.E. ; van Koningsbruggen, G.M. ; Fokkens, A.S. / Assessment of an optimistic bias in social media messages. Proceedings of the 10th ACM Conference on Web science: Main Conference Poster Session. editor / Ivar Vermeulen. 2018. pp. 33-34
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title = "Assessment of an optimistic bias in social media messages",
abstract = "Consistent with psychological theory and research, in the present study we demonstrate that people display a generic optimistic bias by showing more positive sentiment in social media messages about the future rather than the past. In addition, we outline a method for evaluating the validity of the commercial monitoring tool used for the automated sentiment analysis, thereby assessing the usefulness of such a tool in web-based research into human behavior.",
author = "Suzana Bašić and Spijkers, {Benthe S.} and J.W. Ouwerkerk and I.E. Vermeulen and {van Koningsbruggen}, G.M. and A.S. Fokkens",
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language = "English",
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editor = "Ivar Vermeulen",
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Bašić, S, Spijkers, BS, Ouwerkerk, JW, Vermeulen, IE, van Koningsbruggen, GM & Fokkens, AS 2018, Assessment of an optimistic bias in social media messages. in I Vermeulen (ed.), Proceedings of the 10th ACM Conference on Web science: Main Conference Poster Session. pp. 33-34.

Assessment of an optimistic bias in social media messages. / Bašić, Suzana; Spijkers, Benthe S.; Ouwerkerk, J.W.; Vermeulen, I.E.; van Koningsbruggen, G.M.; Fokkens, A.S.

Proceedings of the 10th ACM Conference on Web science: Main Conference Poster Session. ed. / Ivar Vermeulen. 2018. p. 33-34.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Assessment of an optimistic bias in social media messages

AU - Bašić, Suzana

AU - Spijkers, Benthe S.

AU - Ouwerkerk, J.W.

AU - Vermeulen, I.E.

AU - van Koningsbruggen, G.M.

AU - Fokkens, A.S.

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AB - Consistent with psychological theory and research, in the present study we demonstrate that people display a generic optimistic bias by showing more positive sentiment in social media messages about the future rather than the past. In addition, we outline a method for evaluating the validity of the commercial monitoring tool used for the automated sentiment analysis, thereby assessing the usefulness of such a tool in web-based research into human behavior.

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BT - Proceedings of the 10th ACM Conference on Web science

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Bašić S, Spijkers BS, Ouwerkerk JW, Vermeulen IE, van Koningsbruggen GM, Fokkens AS. Assessment of an optimistic bias in social media messages. In Vermeulen I, editor, Proceedings of the 10th ACM Conference on Web science: Main Conference Poster Session. 2018. p. 33-34