Hossein Kermani; Zahra Majdi Zadeh; Marziyeh Adham
Abstract
This paper identified and explored how Iranian Twitter users framed Iran 2017 presidential election in a networked practice. Employing networked framing theory, we tried to identify which subjects were framed by networked publics on Persian Twitter. Moreover, we analyzed the similarities and differentiates ...
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This paper identified and explored how Iranian Twitter users framed Iran 2017 presidential election in a networked practice. Employing networked framing theory, we tried to identify which subjects were framed by networked publics on Persian Twitter. Moreover, we analyzed the similarities and differentiates in framing the election by different networked publics. We combined social network analysis, ethnographic content analysis and social media critical discourse study approach. First, we collected 2596284 tweets during the election period. Then, we focused on retweet (RT) network as the information diffusion network, and discovered networked publics by applying cluster analysis on this corpus. Afterwards, we identified 50 top influential users in each cluster based on their Page Ranks. Finally, we collected all tweets of these users in the whole network and analyzed them. We used three coders to code the selected sample of 10416 tweets in three rounds. Results showed that ‘Election campaigns’, Candidates and their fans ethical practices’, ‘Corruption’, and ‘Candidates’ qualifications’ were the most dominant networked frames. Furthermore, ordinary users were mainly responsible in framing these subjects..
Hossein Kermani
Abstract
This research investigates the relations between personality traits, narcissism and Psycho-Social aspects of Facebook (FB) usage in Iran. Social Networking Sites (SNSs) have attracted many users in the last two decades and become an unavoidably element of users’ everyday life. Facebook, as a biggest ...
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This research investigates the relations between personality traits, narcissism and Psycho-Social aspects of Facebook (FB) usage in Iran. Social Networking Sites (SNSs) have attracted many users in the last two decades and become an unavoidably element of users’ everyday life. Facebook, as a biggest and the most popular SNS in the world, has many users in Iran too. However, there is not much research about the effects of Iranian users’ personality on their FB usage’s patterns. Hence, this paper tries to answer this question that how users’ personality traits shape their usage and affect the Psycho-Social aspects of that. I use the Big-Five trait taxonomy with NP-16 measure of narcissism as the theoretical framework. The Big-Five Inventory covers extraversion, neuroticism, openness, conscientiousness, and agreeableness dimensions of personality and these traits with narcissism can provide a comprehend illustration of one’s personality. In order to measure the Psycho-Social aspects of FB usage, I have focused on the 5 facets: compensatory use of FB, self-presentation on FB, socializing and seeking sexual partners through FB, FB addiction and FB profile as the virtual self. The methodology of this research was online surveying. I designed and published the questionnaire by GoogleDrive.com and after 3 months, 354 answer sheets were gathered. Findings clarify the relations between each personality dimension with each aspect of psycho-social usage of FB. Moreover, the result provides an important set of information about the ways Iranians use FB.
Hossein Kermani
Abstract
This paper tries to 1) propose a framework for doing participant observation in Telegram groups and 2) reach a comprehensive perception of users’ actions in these groups based on a case study. While Telegram, as an Instant Messaging App is the most popular one in Iran, no researches have been done ...
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This paper tries to 1) propose a framework for doing participant observation in Telegram groups and 2) reach a comprehensive perception of users’ actions in these groups based on a case study. While Telegram, as an Instant Messaging App is the most popular one in Iran, no researches have been done about it. Here, I try to prepare an appropriate background for future researches and at a same time study Iranian users’ behavior in this App. Selecting Mack et al. “What to observe” framework as a base, I make it suitable to apply on Telegram groups. To do that, I started using Telegram on November 2014 until March 2016. During this time I observed more than 196 unsystematical groups and on September 2015, selected 43 groups for further study, after that I choose 8 groups for systematic observation and analyzed them from September 26 to October 9, 2015. Finally I suggest the “What to observe” framework consisting of Appearance, Messages and Discussions, Members Roles, Personal Space and Group Traffic.
