research-article

The perception of others: inferring reputation from social media in the enterprise

Authors:

Shiri Kremer-Davidson,

Netta Aizenbud-ReshefAuthors Info & Claims

CSCW '14: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing

Pages 756 - 766

https://doi.org/10.1145/2531602.2531667

Published: 15 February 2014 Publication History

Abstract

The emergence of social media allows people to interact with others all over the world. During interaction, people leave many traces behind that can reveal things about themselves, or about how they perceive others: having many followers may indicate that one is an influencer; forum answers that gain high ranking, are likely to testify for expertise; people who gain high ranking in eCommerce sites are likely to be trustworthy. In this paper, we examine whether public online traces can be used for inferring the reputation of a person as perceived by others in relation to trustworthiness, influence, expertise, and impact. We describe a study performed on indicators of reputation that employees leave in a rich organizational social media platform. We compare different indicators, and report the results of an extensive user study with over 500 participants who provided their perception of thousands of others through a set of hypothetical scenarios.

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Cited By

Liou GMittal JSehgal NTay LUngar LGuntuku S(2023)The online language of work-personal conflictScientific Reports10.1038/s41598-023-48193-313:1Online publication date: 29-Nov-2023
https://doi.org/10.1038/s41598-023-48193-3
Scheinfeld EVoorhees H(2022)How Social Media, FoMO, and Isolation Influence Our Perceptions of Others Who “Break the Rules”Social Media + Society10.1177/205630512211038418:2Online publication date: 14-Jun-2022
https://doi.org/10.1177/20563051221103841
Saha KYousuf AHickman LGupta PTay LDe Choudhury M(2021)A Social Media Study on Demographic Differences in Perceived Job SatisfactionProceedings of the ACM on Human-Computer Interaction10.1145/34492415:CSCW1(1-29)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449241
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Index Terms

The perception of others: inferring reputation from social media in the enterprise
1. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Conferences

CSCW '14: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing

February 2014

1600 pages

ISBN:9781450325400

DOI:10.1145/2531602

General Chairs:
Susan Fussell
Cornell University
,
Wayne Lutters
University of Maryland, Baltimore County
,
Program Chairs:
Meredith Ringel Morris
Microsoft Research
,
Madhu Reddy
Penn State University

Copyright © 2014 ACM.

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 ACM 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: 15 February 2014

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CSCW'14: Computer Supported Cooperative Work

February 15 - 19, 2014

Maryland, Baltimore, USA

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CSCW '14 Paper Acceptance Rate 134 of 497 submissions, 27%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

Liou GMittal JSehgal NTay LUngar LGuntuku S(2023)The online language of work-personal conflictScientific Reports10.1038/s41598-023-48193-313:1Online publication date: 29-Nov-2023
https://doi.org/10.1038/s41598-023-48193-3
Scheinfeld EVoorhees H(2022)How Social Media, FoMO, and Isolation Influence Our Perceptions of Others Who “Break the Rules”Social Media + Society10.1177/205630512211038418:2Online publication date: 14-Jun-2022
https://doi.org/10.1177/20563051221103841
Saha KYousuf AHickman LGupta PTay LDe Choudhury M(2021)A Social Media Study on Demographic Differences in Perceived Job SatisfactionProceedings of the ACM on Human-Computer Interaction10.1145/34492415:CSCW1(1-29)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449241
Palomares IPorcel CPizzato LGuy IHerrera-Viedma E(2021)Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendationInformation Fusion10.1016/j.inffus.2020.12.00169(103-127)Online publication date: May-2021
https://doi.org/10.1016/j.inffus.2020.12.001
Hamshaw RBarnett JGavin JLucas J(2019)Perceptions of Food Hypersensitivity Expertise on Social Media: Qualitative StudyInteractive Journal of Medical Research10.2196/108128:2(e10812)Online publication date: 28-Jun-2019
https://doi.org/10.2196/10812
Saha KReddy MMattingly SMoskal ESirigiri ADe Choudhury M(2019)LibRAProceedings of the ACM on Human-Computer Interaction10.1145/33592393:CSCW(1-30)Online publication date: 7-Nov-2019
https://dl.acm.org/doi/10.1145/3359239
Guy IPera SEkstrand MAmatriain XO'Donovan J(2018)Connecting sellers and buyers on the world's largest inventoryProceedings of the 12th ACM Conference on Recommender Systems10.1145/3240323.3241733(490-491)Online publication date: 27-Sep-2018
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Kremer-Davidson SRonen ILeiba LKaplan ABarnea MBerkovsky SHijikata YRekimoto JBurnett MBillinghurst MQuigley A(2018)Personal Recommendations for Raising Social Eminence in an EnterpriseProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172956(629-639)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3172944.3172956
Guy I(2018)People Recommendation on Social MediaSocial Information Access10.1007/978-3-319-90092-6_15(570-623)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_15
Mitra TMuller MShami NGolestani AMasli M(2017)Spread of Employee Engagement in a Large Organizational NetworkProceedings of the ACM on Human-Computer Interaction10.1145/31347161:CSCW(1-20)Online publication date: 6-Dec-2017
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