Generative models of online discussion threads: state of the art and research challenges
Abstract Online discussion in form of written comments is a core component of many social media platforms. It has attracted increasing attention from academia, mainly because theories from social sciences can be explored at an unprecedented scale. This interest has led to the development of statisti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Brazilian Computing Society (SBC)
2017-10-01
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| Series: | Journal of Internet Services and Applications |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13174-017-0066-z |
| _version_ | 1818352283611561984 |
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| author | Pablo Aragón Vicenç Gómez David García Andreas Kaltenbrunner |
| author_facet | Pablo Aragón Vicenç Gómez David García Andreas Kaltenbrunner |
| author_sort | Pablo Aragón |
| collection | DOAJ |
| description | Abstract Online discussion in form of written comments is a core component of many social media platforms. It has attracted increasing attention from academia, mainly because theories from social sciences can be explored at an unprecedented scale. This interest has led to the development of statistical models which are able to characterize the dynamics of threaded online conversations. In this paper, we review research on statistical modeling of online discussions, in particular, we describe current generative models of the structure and growth of discussion threads. These are parametrized network formation models that are able to generate synthetic discussion threads that reproduce certain features of the real discussions present in different online platforms. We aim to provide a clear overview of the state of the art and to motivate future work in this relevant research field. |
| first_indexed | 2024-12-13T18:51:11Z |
| format | Article |
| id | doaj.art-9153ff7198ad44c8a6832ec84fe8c4e0 |
| institution | Directory Open Access Journal |
| issn | 1867-4828 1869-0238 |
| language | English |
| last_indexed | 2024-12-13T18:51:11Z |
| publishDate | 2017-10-01 |
| publisher | Brazilian Computing Society (SBC) |
| record_format | Article |
| series | Journal of Internet Services and Applications |
| spelling | doaj.art-9153ff7198ad44c8a6832ec84fe8c4e02022-12-21T23:34:57ZengBrazilian Computing Society (SBC)Journal of Internet Services and Applications1867-48281869-02382017-10-018111710.1186/s13174-017-0066-zGenerative models of online discussion threads: state of the art and research challengesPablo Aragón0Vicenç Gómez1David García2Andreas Kaltenbrunner3Universitat Pompeu FabraUniversitat Pompeu FabraETH ZürichUniversitat Pompeu FabraAbstract Online discussion in form of written comments is a core component of many social media platforms. It has attracted increasing attention from academia, mainly because theories from social sciences can be explored at an unprecedented scale. This interest has led to the development of statistical models which are able to characterize the dynamics of threaded online conversations. In this paper, we review research on statistical modeling of online discussions, in particular, we describe current generative models of the structure and growth of discussion threads. These are parametrized network formation models that are able to generate synthetic discussion threads that reproduce certain features of the real discussions present in different online platforms. We aim to provide a clear overview of the state of the art and to motivate future work in this relevant research field.http://link.springer.com/article/10.1186/s13174-017-0066-zOnline discussionComputer-mediated communicationDiscussion threadsComputational social scienceSocial media |
| spellingShingle | Pablo Aragón Vicenç Gómez David García Andreas Kaltenbrunner Generative models of online discussion threads: state of the art and research challenges Journal of Internet Services and Applications Online discussion Computer-mediated communication Discussion threads Computational social science Social media |
| title | Generative models of online discussion threads: state of the art and research challenges |
| title_full | Generative models of online discussion threads: state of the art and research challenges |
| title_fullStr | Generative models of online discussion threads: state of the art and research challenges |
| title_full_unstemmed | Generative models of online discussion threads: state of the art and research challenges |
| title_short | Generative models of online discussion threads: state of the art and research challenges |
| title_sort | generative models of online discussion threads state of the art and research challenges |
| topic | Online discussion Computer-mediated communication Discussion threads Computational social science Social media |
| url | http://link.springer.com/article/10.1186/s13174-017-0066-z |
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