Who Wants To Get Fired?

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

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

Organisationseinheiten

Externe Organisationen

  • Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 5th Annual ACM Web Science Conference, WebSci'13
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten191-194
Seitenumfang4
ISBN (Print)9781450318891
PublikationsstatusVeröffentlicht - 2 Mai 2013
Veranstaltung3rd Annual ACM Web Science Conference, WebSci 2013 - Paris, Frankreich
Dauer: 2 Mai 20134 Mai 2013

Publikationsreihe

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

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.

ASJC Scopus Sachgebiete

Zitieren

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. S. 191-194 (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13; Band volume).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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, Bd. volume, Association for Computing Machinery (ACM), S. 191-194, 3rd Annual ACM Web Science Conference, WebSci 2013, Paris, Frankreich, 2 Mai 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 (S. 191-194). (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13; Band 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. S. 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. S. 191-194 (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13).
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title = "Who Wants To Get Fired?",
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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AU - Casanova, Marco Antonio

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N2 - 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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