Gender identify of social networking users Discourse Analysis The Comments of users of Instagram and Telegram networks
The communication of women and men in social networks and the transfer of women's and men's attitudes and practices have provided a platform for gender identity change. Gender identity is one of the challenges of today's global community.With the increasing use of cyberspace، gender i...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2020-01-01
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| Series: | مطالعات رسانههای نوین |
| Subjects: | |
| Online Access: | https://nms.atu.ac.ir/article_10869_be6a350c303e771990099e45755fc864.pdf |
| _version_ | 1797392756966948864 |
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| author | Mojdeh Kiani |
| author_facet | Mojdeh Kiani |
| author_sort | Mojdeh Kiani |
| collection | DOAJ |
| description | The communication of women and men in social networks and the transfer of women's and men's attitudes and practices have provided a platform for gender identity change. Gender identity is one of the challenges of today's global community.With the increasing use of cyberspace، gender identity has become fluid and variable. Written، spoken، and written language for communication with others in cyberspace has provided a platform for fluid gender identity. This paper aims at analyzing the levels of gender identity of users in order to analyze the gender identity of cyber users using the qualitative method of discourse analysis based on the Fisk model. This paper analyzes the gender identity of cyberspace users using qualitative method of discourse analysis. An analysis sample is the comments made by male and female users of the Intagram and Telegram virtual networks from November to March 2017-2018. Comments from 300 male and female users have been reviewed with common approaches to discourse analysis. The present study is a qualitative analysis of male and female users of Instagram and Telegram virtual networks in 2018. 300 profiles have been reviewed with common approaches to discourse analysis. Analysis of user comments suggests that female users have made more comments. Women supported men more. Women have emotional support over men's messages. Women tend to share more personalized issues and men are more likely to face less personal issues. |
| first_indexed | 2024-03-08T23:53:09Z |
| format | Article |
| id | doaj.art-c7500f521d2f492fab6b28750c258381 |
| institution | Directory Open Access Journal |
| issn | 2538-2209 2476-6550 |
| language | fas |
| last_indexed | 2024-03-08T23:53:09Z |
| publishDate | 2020-01-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات رسانههای نوین |
| spelling | doaj.art-c7500f521d2f492fab6b28750c2583812023-12-13T10:28:07ZfasAllameh Tabataba'i University Pressمطالعات رسانههای نوین2538-22092476-65502020-01-0152014917710.22054/nms.2020.36373.63210869Gender identify of social networking users Discourse Analysis The Comments of users of Instagram and Telegram networksMojdeh Kiani0Social Science department, Payame Noor universityThe communication of women and men in social networks and the transfer of women's and men's attitudes and practices have provided a platform for gender identity change. Gender identity is one of the challenges of today's global community.With the increasing use of cyberspace، gender identity has become fluid and variable. Written، spoken، and written language for communication with others in cyberspace has provided a platform for fluid gender identity. This paper aims at analyzing the levels of gender identity of users in order to analyze the gender identity of cyber users using the qualitative method of discourse analysis based on the Fisk model. This paper analyzes the gender identity of cyberspace users using qualitative method of discourse analysis. An analysis sample is the comments made by male and female users of the Intagram and Telegram virtual networks from November to March 2017-2018. Comments from 300 male and female users have been reviewed with common approaches to discourse analysis. The present study is a qualitative analysis of male and female users of Instagram and Telegram virtual networks in 2018. 300 profiles have been reviewed with common approaches to discourse analysis. Analysis of user comments suggests that female users have made more comments. Women supported men more. Women have emotional support over men's messages. Women tend to share more personalized issues and men are more likely to face less personal issues.https://nms.atu.ac.ir/article_10869_be6a350c303e771990099e45755fc864.pdf"gender identity"" discourse analysis""social networks""emotional discourse""traditional women's shelter" |
| spellingShingle | Mojdeh Kiani Gender identify of social networking users Discourse Analysis The Comments of users of Instagram and Telegram networks مطالعات رسانههای نوین "gender identity" " discourse analysis" "social networks" "emotional discourse" "traditional women's shelter" |
| title | Gender identify of social networking users
Discourse Analysis
The Comments of users of Instagram and Telegram networks |
| title_full | Gender identify of social networking users
Discourse Analysis
The Comments of users of Instagram and Telegram networks |
| title_fullStr | Gender identify of social networking users
Discourse Analysis
The Comments of users of Instagram and Telegram networks |
| title_full_unstemmed | Gender identify of social networking users
Discourse Analysis
The Comments of users of Instagram and Telegram networks |
| title_short | Gender identify of social networking users
Discourse Analysis
The Comments of users of Instagram and Telegram networks |
| title_sort | gender identify of social networking users discourse analysis the comments of users of instagram and telegram networks |
| topic | "gender identity" " discourse analysis" "social networks" "emotional discourse" "traditional women's shelter" |
| url | https://nms.atu.ac.ir/article_10869_be6a350c303e771990099e45755fc864.pdf |
| work_keys_str_mv | AT mojdehkiani genderidentifyofsocialnetworkingusersdiscourseanalysisthecommentsofusersofinstagramandtelegramnetworks |