Beyond Keywords
The potential of social media to give insight into the dynamic evolution of public conversations, and into their reactive and constitutive role in political activities, has to date been underdeveloped. While topic modeling can give static insight into the structure of a conversation, and keyword vol...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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SAGE Publications
2019
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| Online Access: | http://hdl.handle.net/1721.1/120723 https://orcid.org/0000-0002-6907-6973 https://orcid.org/0000-0001-9240-2573 |
| _version_ | 1811072910048100352 |
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| author | Tounaka, Nobuaki Nakamura, Kazutaka Sugiyama, Takaaki Nakagawa, Daisuke Shirnen, Buyanjargal Houghton, James P Siegel, Michael D Madnick, Stuart E |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Tounaka, Nobuaki Nakamura, Kazutaka Sugiyama, Takaaki Nakagawa, Daisuke Shirnen, Buyanjargal Houghton, James P Siegel, Michael D Madnick, Stuart E |
| author_sort | Tounaka, Nobuaki |
| collection | MIT |
| description | The potential of social media to give insight into the dynamic evolution of public conversations, and into their reactive and constitutive role in political activities, has to date been underdeveloped. While topic modeling can give static insight into the structure of a conversation, and keyword volume tracking can show how engagement with a specific idea varies over time, there is need for a method of analysis able to understand how conversations about societal values evolve and react to events in the world by incorporating new ideas and relating them to existing themes. In this article, we propose a method for analyzing social media messages that formalizes the structure of public conversations and allows the sociologist to study the evolution of public discourse in a rigorous, replicable, and data-driven fashion. This approach may be useful to those studying the social construction of meaning, the origins of factionalism and internecine conflict, or boundary-setting and group-identification exercises and has potential implications. Keywords: social media, framing, public conversation, analysis tools, visualization |
| first_indexed | 2024-09-23T09:21:15Z |
| format | Article |
| id | mit-1721.1/120723 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T09:21:15Z |
| publishDate | 2019 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | mit-1721.1/1207232022-09-26T11:18:40Z Beyond Keywords Tounaka, Nobuaki Nakamura, Kazutaka Sugiyama, Takaaki Nakagawa, Daisuke Shirnen, Buyanjargal Houghton, James P Siegel, Michael D Madnick, Stuart E Sloan School of Management Houghton, James P Siegel, Michael D Madnick, Stuart E The potential of social media to give insight into the dynamic evolution of public conversations, and into their reactive and constitutive role in political activities, has to date been underdeveloped. While topic modeling can give static insight into the structure of a conversation, and keyword volume tracking can show how engagement with a specific idea varies over time, there is need for a method of analysis able to understand how conversations about societal values evolve and react to events in the world by incorporating new ideas and relating them to existing themes. In this article, we propose a method for analyzing social media messages that formalizes the structure of public conversations and allows the sociologist to study the evolution of public discourse in a rigorous, replicable, and data-driven fashion. This approach may be useful to those studying the social construction of meaning, the origins of factionalism and internecine conflict, or boundary-setting and group-identification exercises and has potential implications. Keywords: social media, framing, public conversation, analysis tools, visualization 2019-03-05T15:01:56Z 2019-03-05T15:01:56Z 2017-10 2019-02-22T19:16:34Z Article http://purl.org/eprint/type/JournalArticle 0049-1241 1552-8294 http://hdl.handle.net/1721.1/120723 Houghton, James P., Michael Siegel, Stuart Madnick, Nobuaki Tounaka, Kazutaka Nakamura, Takaaki Sugiyama, Daisuke Nakagawa, and Buyanjargal Shirnen. “Beyond Keywords.” Sociological Methods & Research (October 10, 2017): 004912411772970. © 2017 The Authors https://orcid.org/0000-0002-6907-6973 https://orcid.org/0000-0001-9240-2573 http://dx.doi.org/10.1177/0049124117729705 Sociological Methods & Research Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf SAGE Publications MIT web domain |
| spellingShingle | Tounaka, Nobuaki Nakamura, Kazutaka Sugiyama, Takaaki Nakagawa, Daisuke Shirnen, Buyanjargal Houghton, James P Siegel, Michael D Madnick, Stuart E Beyond Keywords |
| title | Beyond Keywords |
| title_full | Beyond Keywords |
| title_fullStr | Beyond Keywords |
| title_full_unstemmed | Beyond Keywords |
| title_short | Beyond Keywords |
| title_sort | beyond keywords |
| url | http://hdl.handle.net/1721.1/120723 https://orcid.org/0000-0002-6907-6973 https://orcid.org/0000-0001-9240-2573 |
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