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

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 proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	WebSci 2018: Proceedings of the 10th ACM Conference on Web science
Subtitle of host publication	Main Conference Poster Session
Editors	Ivar Vermeulen
Publisher	ACM Digital Library
Pages	33-34
Number of pages	2
ISBN (Electronic)	9781450355636
Publication status	Published - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

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Assessment of an Optimistic Bias in Social Media MessagesSubmitted manuscript, 8.5 MBLicence: CC BY

https://zenodo.org/record/2546810Licence: CC BY

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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 Ba{\v s}i{\'c} and Spijkers, \{Benthe S.\} and J.W. Ouwerkerk and I.E. Vermeulen and \{van Koningsbruggen\}, G.M. and A.S. Fokkens",

year = "2018",

language = "English",

pages = "33--34",

editor = "Ivar Vermeulen",

booktitle = "WebSci 2018: Proceedings of the 10th ACM Conference on Web science",

publisher = "ACM Digital Library",

}

Assessment of an optimistic bias in social media messages. / Bašić, Suzana; Spijkers, Benthe S.; Ouwerkerk, J.W. et al.
WebSci 2018: Proceedings of the 10th ACM Conference on Web science: Main Conference Poster Session. ed. / Ivar Vermeulen. ACM Digital Library, 2018. p. 33-34.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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.

PY - 2018

Y1 - 2018

N2 - 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.

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.

UR - https://dl.acm.org/doi/proceedings/10.1145/3201064

UR - https://easychair.org/cfp/websci18

M3 - Conference contribution

SP - 33

EP - 34

BT - WebSci 2018: Proceedings of the 10th ACM Conference on Web science

A2 - Vermeulen, Ivar

PB - ACM Digital Library

ER -

Assessment of an optimistic bias in social media messages

Abstract

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