مجله مطالعات میان رشته ای ارتباطات و رسانه
سال چهارم شماره 2 (پیاپی 12، تابستان 1400)

The conscious use of social media and not falling victim to fake news requires possessing media literacy. The main question of the present research is as follows: What is the correlation between internet users’ Media Health Literacy and their Social Media Consumption. The research method was survey conducted in May 2019. The statistical population was adult citizens of Tehran who were internet users and the data was measured using a researcher-made questionnaire whose reliability has been confirmed (Cronbach’s Alpha = 0.837). By Media Health Literacy, we mean people’s understanding of their abilities to access, analyze, create and convey communicative messages in the field of health through media. According to the findings, Health Media Literacy was significantly correlated with the frequency of Social Media Consumption (in general) and Social Media Usage (the variety of social media in use and using their applications in the health domain) in the field of health. However, no statistically significant relationship was found between the average Media Health Literacy of males and females, across different age groups and across residents of various city areas. Multiple linear regression shows that variants like ‘gratifications obtained from using social media in the field of health’, ‘variety of the used health-related social media’, ‘area of residence’ and ‘years of education’ were able to define 33.5 percent of Media Health Literacy variance. It can be concluded that despite the spread of social media penetration, factors like the level of education and economic status influence the users' health media literacy. But it is expected that the users’ Media Health Literacy is enhanced using various capabilities of the social health media

Nowadays, many users share their ideas and opinions with others on various social networks. The mass volume of raw data generated on social networks has made them a repository full of ideas, thoughts and concerns of countless users noticing which can play a decisive role in micro and macro decisions. Therefore, the present study seeks to identify people's social concerns by using text analysis methods on Twitter to be included in future plans for social innovation and social entrepreneurship. To achieve this goal, tweets related to social innovation and social entrepreneurship were extracted from Twitter in a new way and analyzed using text mining techniques and algorithms such as topic modeling of LDA and sentiment analysis. The text mining findings showed that users in the field of social entrepreneurship generally focused on issues such as the need to pay attention to employment in Chabahar, holding free events to identify ideas, and opportunities and the problems of raising capital in entrepreneurial projects. Also, in the field of social innovation, users have paid more attention to issues such as the need to care for the disabled, construction of dental centers, the establishment of greenhouses in the southern regions of the country, and empowerment of women. In addition, the analysis of Persian tweets' sentiments about social entrepreneurship and social innovation showed positive results. Given the positive results of analyzing people's feelings towards social entrepreneurship and social innovation and the identified topics, programs and decisions can be considered in future planning to address people's concerns, which can ultimately increase people's satisfaction and their level of well-being.

The murder of George Floyd, a black American citizen, by a Minneapolis police officer sparked widespread protests from the American citizens against systematic racism in the country and the formation of “Black Lives is Matter” movement. The scope of these protests was not limited to Floyd’s murder and in an unprecedented step, the poeple repeatedly assaulted the country's main symbols, including the US flag, the statues of famous figures, and commercial and media brands of the country. The way of confrontation of the mainstream media with social movements has always been noticed by the researchers. In the present study, using van Dijk’s critical discourse analysis model, we aimed to investigate the representation of this movement in the US mainstream media such as CNN, Fox News and The New York Times. To do that, using purposive sampling, 20 news from The New York Times, 15 news from Fox News and 10 news from CNN were selected and explored. Then, the research data were interpreted using van Dijk model’s linguistic signs and elements. The findings show that, during the protests, all three media outlets challenged the actions of the protesters in attacking the American values and the components of the soft power of the country and tried to portray this movement negatively and delegitimize the protesters. Fox News, meanwhile, has been more outspoken in its "paradigm of protest" and its labeling and marginalization of the protesters because of its proximity to the government and the ruling party than the other two media outlets critical of the Donald Trump.

In recent decades, and due to the role of accompanying social media in shaping various forms of human communication, these media were at the forefront of people’s attention. Today, with the increasing use of social media among the youth, they changed to a common generational object and attracted communication experts’ attention to analyze the role and consequences of these social networks on the intergenerational relationship of the youth with their parents.    The main purpose of this study is to identify the role of accompanying social media in generational relations of Allameh Tabataba'i University students.     The research method is survey and the data collection tool is a researcher-made questionnaire. Using Cochran's formula from the statistical population -which included all students studying in the faculties of communication, law and political sciences of Allameh Tabataba'i University in Tehran- 400 people were selected as sample size. Findings The findings indicate that there is a negative correlation between the time that the students spend on social media and strengthening their generational relations with their parents. Moreover, there is a significant relationship between the amount of time spent on accompanying social media and the kind of students’ generational relations in terms of cohesion and correlation, face-to-face relations with parents and family members, and between the amount of time spent on accompanying social media and the kind of students’ generational relations in terms of weakening the emotional bond in the family. In contrast, there is no significant relationship between the amount of time spent on accompanying social media and students’ generational relations in terms of the attitudinal divide in the family. Accompanying social media have accelerated the process of modernization in family relationships and weakened the traditional bonds in the family. Regarding that, by strengthening the emotional bonds between parents and children, many irreparable consequences can be prevented.

Game is a means of learning and transmitting culture and accordingly, can be accounted as a kind of interactive media. "Diwaan", the game studied in this research, is one of the few Iranian board games that has been able to recreate the legendary Iranian characters with attractive themes by following the gameplay of one of the most famous games in the world, namely Mafia. The research goal is the analysis of the benefits and harms of using the characters of Iranian legends in Diwaan board game and the quality of recreating them in the game’s story. The method of this research is descriptive-analytical, during which the library data were collected, the characters in the Iranian folk literature and legends were observed and studied, and then the analysis was performed. The findings show that Iranian legends, despite being narrated, can be made applicable. In addition, the designers of this board game have completely mastered the background of various characters from the pre-effect -that is, Iranian legends used in the process of recreating the board game- and have not limited themselves to a single effect that belongs to a specific time period. 15 different characters have been extracted out of the legendary and folk stories and, while maintaining their main nature, gained a new life in the thoughts and minds of the players and presented a semantic continuity in different cultural forms by accepting new roles based on the gameplay of Diwaan in a way that the board game has been redefined as a media to transmit the culture of the Iranian legends.

Social media has provided an opportunity for various groups of people to visualize their everyday life. This visualization of everyday life is done by female influencers on the Instagram image-based social network. In this article, the dominant discourse reproduced by these users has been studied. Using a conceptual framework consisting of Foucault's theory of discourse analysis, Butler's ‘gender representation’, and Mirzoeff 's ‘visual culture’, the question of whether these images create a different discourse of gender or they fall within the same dominant discourses can be answered through studying the images of females as shown by themselves. For this purpose, the Instagram pages of 27 female influencers with more than 500,000 followers were selected. Overall, a total of 315 posts (image and text) were also selected as a sample out of which the main themes and sub-themes of the discourse were extracted by visual discourse analysis method. The discourse analysis of the findings shows that the discourse reproduced by female influencers includes both discourses of patriarchy and capitalism.