Haters Gonna Hate: Job-related Offenses in Twitter
R. Kawase, P. Siehndel, und E. Herder. Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, Seite 557--558. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2014)
DOI: 10.1145/2567948.2576953
Zusammenfassung
In this paper, we aim at finding out which users are likely to publicly demonstrate frustration towards their jobs on the microblogging platform Twitter - we will call these users haters. We show that the profiles of haters have specific characteristics in terms of vocabulary and connections. The implications of these findings may be used for the development of an early alert system that can help users to think twice before they post potentially self-harming content.
%0 Conference Paper
%1 Kawase:2014:HGH:2567948.2576953
%A Kawase, Ricardo
%A Siehndel, Patrick
%A Herder, Eelco
%B Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion
%C Republic and Canton of Geneva, Switzerland
%D 2014
%I International World Wide Web Conferences Steering Committee
%K myown
%P 557--558
%R 10.1145/2567948.2576953
%T Haters Gonna Hate: Job-related Offenses in Twitter
%U http://dx.doi.org/10.1145/2567948.2576953
%X In this paper, we aim at finding out which users are likely to publicly demonstrate frustration towards their jobs on the microblogging platform Twitter - we will call these users haters. We show that the profiles of haters have specific characteristics in terms of vocabulary and connections. The implications of these findings may be used for the development of an early alert system that can help users to think twice before they post potentially self-harming content.
%@ 978-1-4503-2745-9
@inproceedings{Kawase:2014:HGH:2567948.2576953,
abstract = {In this paper, we aim at finding out which users are likely to publicly demonstrate frustration towards their jobs on the microblogging platform Twitter - we will call these users haters. We show that the profiles of haters have specific characteristics in terms of vocabulary and connections. The implications of these findings may be used for the development of an early alert system that can help users to think twice before they post potentially self-harming content.},
acmid = {2576953},
added-at = {2014-10-24T12:15:19.000+0200},
address = {Republic and Canton of Geneva, Switzerland},
author = {Kawase, Ricardo and Siehndel, Patrick and Herder, Eelco},
biburl = {https://www.bibsonomy.org/bibtex/245923a7acc6a16d4453f6ede80bec7cd/eelcoherder},
booktitle = {Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion},
description = {Haters gonna hate},
doi = {10.1145/2567948.2576953},
interhash = {bd3d82ce5f6f5dbf694316891c3f75c9},
intrahash = {45923a7acc6a16d4453f6ede80bec7cd},
isbn = {978-1-4503-2745-9},
keywords = {myown},
location = {Seoul, Korea},
numpages = {2},
pages = {557--558},
publisher = {International World Wide Web Conferences Steering Committee},
series = {WWW Companion '14},
timestamp = {2014-10-24T12:15:19.000+0200},
title = {Haters Gonna Hate: Job-related Offenses in Twitter},
url = {http://dx.doi.org/10.1145/2567948.2576953},
year = 2014
}