Who Wants To Get Fired?

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Ricardo Kawase
  • Bernardo Pereira Nunes
  • Eelco Herder
  • Wolfgang Nejdl
  • Marco Antonio Casanova

Research Organisations

External Research Organisations

  • Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
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Details

Original languageEnglish
Title of host publicationProceedings of the 5th Annual ACM Web Science Conference, WebSci'13
PublisherAssociation for Computing Machinery (ACM)
Pages191-194
Number of pages4
ISBN (print)9781450318891
Publication statusPublished - 2 May 2013
Event3rd Annual ACM Web Science Conference, WebSci 2013 - Paris, France
Duration: 2 May 20134 May 2013

Publication series

NameProceedings of the 5th Annual ACM Web Science Conference, WebSci'13
Volumevolume

Abstract

Microblogging services like Twitter have witnessed a flood of users and short updates (tweets). Although this phenomenon brings new possibilities of communication, it also brings dangerous consequences. From time to time, people post tweets guided by strong emotions. By default, tweets are public and anyone, anywhere can instantly see your updates, creating high exposure and lack of awareness about privacy issues. In many cases, this may lead to consequences that can be harmful to one's personal and professional life. In this paper, we investigate the posting behavior of people who tweet that they hate their jobs and bosses and their responses to alerts about the potential damage that such a tweet may cause. We show that, in many cases, people are not aware about the dimension of their audience, and once alerted, they often regret what they have publicly said. Our analysis leads us to believe that many users could benefit from a 'give a second thought before posting' tool that may save their jobs.

Keywords

    Privacy awareness, Twitter, User issues

ASJC Scopus subject areas

Cite this

Who Wants To Get Fired? / Kawase, Ricardo; Nunes, Bernardo Pereira; Herder, Eelco et al.
Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13. Association for Computing Machinery (ACM), 2013. p. 191-194 (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13; Vol. volume).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Kawase, R, Nunes, BP, Herder, E, Nejdl, W & Casanova, MA 2013, Who Wants To Get Fired? in Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13. Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13, vol. volume, Association for Computing Machinery (ACM), pp. 191-194, 3rd Annual ACM Web Science Conference, WebSci 2013, Paris, France, 2 May 2013. https://doi.org/10.1145/2464464.2464476
Kawase, R., Nunes, B. P., Herder, E., Nejdl, W., & Casanova, M. A. (2013). Who Wants To Get Fired? In Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13 (pp. 191-194). (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13; Vol. volume). Association for Computing Machinery (ACM). https://doi.org/10.1145/2464464.2464476
Kawase R, Nunes BP, Herder E, Nejdl W, Casanova MA. Who Wants To Get Fired? In Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13. Association for Computing Machinery (ACM). 2013. p. 191-194. (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13). doi: 10.1145/2464464.2464476
Kawase, Ricardo ; Nunes, Bernardo Pereira ; Herder, Eelco et al. / Who Wants To Get Fired?. Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13. Association for Computing Machinery (ACM), 2013. pp. 191-194 (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13).
Download
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abstract = "Microblogging services like Twitter have witnessed a flood of users and short updates (tweets). Although this phenomenon brings new possibilities of communication, it also brings dangerous consequences. From time to time, people post tweets guided by strong emotions. By default, tweets are public and anyone, anywhere can instantly see your updates, creating high exposure and lack of awareness about privacy issues. In many cases, this may lead to consequences that can be harmful to one's personal and professional life. In this paper, we investigate the posting behavior of people who tweet that they hate their jobs and bosses and their responses to alerts about the potential damage that such a tweet may cause. We show that, in many cases, people are not aware about the dimension of their audience, and once alerted, they often regret what they have publicly said. Our analysis leads us to believe that many users could benefit from a 'give a second thought before posting' tool that may save their jobs.",
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