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Toward Harmonizing Self-reported and Logged Social Data for Understanding Human Behavior

Published: 02 May 2017 Publication History

Abstract

While self-reporting remains the most common method to understand human behavior, recent advances in social networks, mobile technologies, and other computer-mediated communication technologies are allowing researchers to obtain detailed logs of human behavior with ease. While the logged data is very useful (and accurate) at capturing the structure of the user's social network, the self-reported data provides an insight into the user's cognitive map of her social network. Based on a field study involving 47 users for a period of ten weeks we report that combining the two sets of data (self-reported and logged) gives higher predictive power than using either one of them individually. Further, the difference between the two types of values captures the level of dissonance between a user's actual and perceived social behavior and is found to be an important predictor of the person's social outcomes including social capital, social support and trust.

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Cited By

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  • (2024)Agreement Between Self-Reported and Objectively Measured Smartphone Use Among Adolescents and AdultsComputers in Human Behavior Reports10.1016/j.chbr.2024.100569(100569)Online publication date: Dec-2024
  • (2021)A systematic review and meta-analysis of discrepancies between logged and self-reported digital media useNature Human Behaviour10.1038/s41562-021-01117-55:11(1535-1547)Online publication date: 17-May-2021

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cover image ACM Conferences
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
May 2017
7138 pages
ISBN:9781450346559
DOI:10.1145/3025453
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 May 2017

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Author Tags

  1. bias
  2. call-log data
  3. dissonance coefficient
  4. self-reported
  5. social ties
  6. socio-mobile behavior

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Cited By

View all
  • (2024)Agreement Between Self-Reported and Objectively Measured Smartphone Use Among Adolescents and AdultsComputers in Human Behavior Reports10.1016/j.chbr.2024.100569(100569)Online publication date: Dec-2024
  • (2021)A systematic review and meta-analysis of discrepancies between logged and self-reported digital media useNature Human Behaviour10.1038/s41562-021-01117-55:11(1535-1547)Online publication date: 17-May-2021

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