Instagram

In this study, the issue of using Instagram social network by different groups of Iranian women and their interests and desires in publication of photos is investigated. The purpose of the study is to identify the common aspects and differences in women’s lives reflected in their self-expression efforts based on their social characteristics. Therefore, the women were classified into eight groups based on the elements affecting the way they show their daily lives, such as education level, occupation and marital status. Then, qualitative method, including virtual ethnographic techniques, content analysis and online interviews, was used. Photos posted on Instagram by 32 users were studied and analyzed, and these users were interviewed. Questions were asked about their tendency towards posting photos of their daily lives on Instagram via direct messages. The conceptual framework of the study included Bourdieu’s theory of ‘distinction’ and Baudrillard’s concept of ‘system of objects’. Results showed that women in each group select specific approaches to the publication of photos based on their social conditions. In the present article, these differences are discussed in detail. The significance of this research lies in the<span class="tlid-translation"> possibility of understanding different aspects of women’s everyday life and their individual identity through self-reports in the new media as opposed to the traditional media which only presents a standardized type of identification. Since studying women’s efforts in presenting themselves on social media has been neglected in studies conducted on social networks in Iran, this study leads to a better understanding of Iranian women’s diverse identities.

Celebrities have gained considerable influence in the last one hundred years or so, but the advent of so-called Web 2.0 technologies has given celebrity culture a new momentum. We are living in a world in which celebrities are striving to curve their place in every niche and hence we have to become more media literate in order to avoid being exploited by celebrity media and culture. We have to be aware that celebrities promote commodities that they will never use, that they are carefully working on their image to become pleasant to us, and that if they do humanitarian work, they are mainly doing it for their reputation, and not for a real and authentic cause.

Purpose: The aim of this study was to identify the effective factors and consequences of influencers' behavior in social media marketing. Methodology: The present study was applied in terms of purpose and in terms of data collection was a mixed research (qualitative-quantitative). The statistical community included academic experts and social media marketing experts in the qualitative section and all Instagram users in the quantitative section. The sample size was estimated in the qualitative part with theoretical saturation (20 people) and in the quantitative part based on Cochran's formula 384 people. Purposeful sampling was used to select the sample in the qualitative part and stratified random sampling was used in the quantitative part. Data collection tools were qualitative, interview and quantitative, researcher-made questionnaire based on a 5-item scale. The validity of the questionnaire was confirmed in terms of form and content by several experts, the validity was confirmed by the calculation of the slope and the validity was confirmed by the calculation of the square root of the AVE. The reliability of the questionnaire through Cronbach's alpha for the whole questionnaire was 0.86. Structural equation tests Using LISREL and SPSS software was used to analyze the data. Findings: The results identified 10 components and 63 indicators that 4 components influencing the behavior of influencers in social media marketing including influencer attitude, influencer identity, personal branding and important social events and 6 components of the consequences of influencer behavior in marketing Social media included influencer loyalty, follower persuasion, lifestyle, advertising effectiveness, follower awareness, and entrepreneurship. Conclusion: The results showed that 7 components were considered as factors in the behavior of influencers on Instagram, including attractiveness, reliability, content, reputation, expertise, credibility and nationality of the influencer.

This research was aimed at develop and validate an influencer behavior model in social media marketing. The statistical population in the qualitative section consisted of Academic and organizational experts including social media marketing experts. A sample of qualitative sample was used for purposeful sampling and in a small part of the compilation sampling. The data collection tool was interviewed in the qualitative section and in the quantitative section the questionnaire was used. Data were analyzed using confirmatory statistical analysis. The results identified 17 components and 90 indicators that 4 components of influencing the behavior of influencers in social media marketing. Finally, the research model consisting of influential and influential factors was presented and its degree of appropriateness was appropriate.

The present article aims to investigate the modality of coverage and infodemic management regarding COVID 19 by the two Iranian mainstream media i.e., IRNA and Fars News Agency. To investigate the modality of infodemic management, the article specifically examines ‘building resilience to misinformation’. To reach this aim, content analysis has been used. Data for this study were selected from the Instagram pages of Fars News Agency (@fras_news) and Islamic Republic News Agency (IRNA) (Irna_1313) from February 19, 2019, the day of the official announcement regarding the first Coronavirus case in Iran, until October 25, 2021. In total 218 items were collected, out of which 64 cases were from IRNA and 154 were from Fars News Agency. Both news agencies were examined in terms of infodemic type, Infodemic themes and infodemic sources. The results of the study indicated that in terms of infodemic type, Fars mainly focused on fake news; while IRNA concentrated on prevalent public questions and concerns regarding the Coronavirus. In terms of infodemic themes, both news agencies focused on Corona phobia and vaccination. The results of the study indicate that social networking sites are the main sources of spreading infodemic regarding COVID-19. 

Being aware of people's attitudes and emotions about a specific person or an event can have a high impact on the decisions of individuals and organizations. With the rise of social networks, specifically Instagram, many people are sharing their attitudes on this social network. Analyzing the emotions of users of this social network can help managers make organizational decisions and predict essential events such as elections. In this research, the EAS system designed and implemented to extract emotions and visualize them. As a practical example, the Instagram users' feelings about the two main candidates for the 12th Iranian presidential election also examined. The data were Instagram Persian comments collected using a developed crawler. The result shows a more positive feeling about Rouhani in comparison with Raeisi. Also, the lexicon-based analysis of Rouhani revealed a high level of trust emotion, along with anger and disgust. The crawled and preprocessed dataset is publicly available at https://github.com/sfdk74/EAS.

Instagram is considered one of the most famous virtual social networks among all ages of human beings. Nowadays, the extensive popularity of social networking websites such as Instagram has made new chances for Iranian English teachers and learners. Accordingly, the present study tries to investigate whether Instagram would be a useful learning instrument of vocabulary for Iranian male EFL learners at the pre-intermediate at Shokouh Enghelab English Academy in Babol, Mazandaran, Iran. The participants in this study were 50 male EFL learners, ranging from 8-15 years old, selected randomly from 100 cases. After checking the homogeneity of the participants, they were divided into two groups. The participants in the experimental group were learning English vocabulary through ten Instagram pages for four weeks (12 sessions and 25 minutes per session). But the participants in the control group were only taught by the teacher. Pretest and posttest were applied to evaluate learners' knowledge about vocabulary during the session. Based on the research data, Instagram learning brings valuable technological and pedagogical advantages for Iranian EFL learners despite the popularity of social networks. It has a significantly positive effect on the development of  vocabulary learning. The findings of this paper can be helpful in the English methodology issue.

In recent years social networking sites have affected almost all aspects of our lives. The Instagram social network has become popular among people, and there are lots of pages on this social media, which are explicitly presenting English materials to their followers. This non-experimental descriptive study aimed to determine the strength, weaknesses, opportunities, and threats of English teaching pages on Instagram . Twelve English teaching pages were observed due to their high number of followers to discover the strengths, weaknesses, opportunities, and threats. To provide more fruitful points for the SWOT analysis, ten active Instagram users were interviewed. They were asked to fill out a SWOT analysis written interview about Instagram English teaching pages. The interpretative approach and frequency and percentage were used to analyze the data, owing to the nature of the gathered data in this research. Employing the results of this study, admins of English teaching pages can take a forward step to make their pages more beneficial and more effective in the process of English teaching. The findings can also help those scholars or teachers who want to use Instagram to present their services. Being aware of the effectiveness of English teaching pages helps language learners be more cautious about selecting them as a source of learning English.

Cyber transgressions (non-normative behaviors, attitudes and conditions) are growing, hence we employed a three-study exploratory sequential mixed method designed to make a taxonomy of Instagram cybercultural transgressions, and cyber social control means; to examine the effects of low self-control, depression, negative interpersonal relationships, computer/ Internet self-efficacy, netiquette, and normative beliefs, and also sociodemographic factors, and media use habits on cybercultural transgressions; and to explore the effectiveness of jurisdiction, non-anonymity, filtering, and forced user migration to domestic social media platforms as cyber social control means. The quantitative findings from 989 participants showed that nondepressed, older, married, middle-income, university educated, non-student users (especially women) with high self-control, more positive interpersonal relationships, moderate levels of computer/ Internet self-efficacy, normative beliefs, and with more years of Internet use experience, and less daily Internet use, who are knowledgeable about netiquette, are parents, have a job (also retired individuals and housewives), do not use VPNs, psychotropic medications, and alcoholic beverages and/ or recreational drugs, do not have previous experience of online victimization, do not associate with online transgressors, and do not feel being in minority, are less likely than others to commit online transgressive behaviors, or consume transgressive content. The importance of jurisdiction and non-anonymity as social control means, and the failure of filtering and forced user migration to Iranian social media platforms are discussed. These findings can be useful in devising new non-coercive policies and initiatives to socially control cybercultural transgressions.

The present research examined the effects of the affective and cognitive benefits of exercise in Instagram on users' physical activity through two consecutive studies. The results of the first study showed that the designed content provided sufficient cognitive and affective benefits. Similarly, the second study found that after adjusting the basic PA level, the affective and cognitive groups had more PA than the control group, and the cognitive group had more than the control group. Consecutively, 45.75% of subjects who were inactive were turned into active after one week of being taught of the benefits of exercise, with 71.43% in the affective group and 28.57% in the cognitive group. In terms of gender, 84.12% were women and 15.78% were men. As a result, visual exposure to sports participation might have led to an increase in positive feelings among users, especially women, which may have led to increased PA levels. The results of this study are useful for health professionals who are trying to communicate information about the benefits of exercise to their target audience based on a combination of evidence, gender, and PA level.

Purpose: The present study aims to provide a model for analyzing the brand-customer relationship on Instagram in the cosmetics industry. Method: In this study, qualitative and quantitative methods have been used to analyze the data. The statistical population in the qualitative phase includes brand marketing experts and in the quantitative phase consists of customers of the cosmetics industry. Sampling has been non-probabilistic and purposeful in the qualitative phase, and random using Cochrane formula in the quantitative phase. Interviews and questionnaires were utilized as data collection tools. Content analysis was used to analyze specialized interviews. Moreover, the identified indicators were validated by Fuzzy Delphi method. Then, using the structural-interpretive method, the initial model is designed and finally, using the partial least squares method, the final model of the research is presented. The analysis of research data in qualitative quantitative phases has been done with MaxQDA software and Smart PLS software, respectively. In order to achieve the objectives of the study, a set of practical indicators of brand-customer relationship were identified on Instagram through analyzing experts’ interviews. Findings: The findings reveal that brand performance influences the positioning and creating of brand and brand value. Brand awareness and brand personality are among the indicators that affect brand performance. Furthermore, marketing strategy affects the quality of services. Conclusion: It is recommended that various entertainment tools such as videos, applications, in cyberspace on Instagram be posted and create a happy and fun atmosphere in cyberspace along with humor, contest design, and puzzles related to the type of activity and brands.

Due to the special features of Instagram and Telegram and the newness of this phenomenon, many people in the society have not gained the opportunity or ability to know this space in detail and their lack of proper familiarity with this space, influence in the political, social, and economic fields. , has followed culture and security for them. Therefore, in this research, the relationship between the use of Instagram and Telegram with the security and social trust of users has been investigated. The method of this research is descriptive correlation type. The statistical population of the research included 16-19-year-old users in the 12th district of Tehran, and the statistical sample size was determined to be 380 people based on Cochran's formula. The survey data collection method and the data measurement tool was a researcher-made questionnaire. The findings of the research showed that the amount and history of using Instagram and Telegram is effective on security and social trust. Meanwhile, the correlation of social and cultural content on security and social trust is positive and significant, and the correlation between economic and security content with security and social trust is negative and significant. The relationship between the political content of Instagram and Telegram with trust and social security is not significant. Finally, virtual media has had an impact on the security and social trust of Tehran users.

  Objective : Social networks have become widely popular among young people in recent years. This research was conducted with the aim of analyzing the content of young people's attitude towards the positive and negative effects of Instagram. Methods : The approach of the current research is qualitative and its method is qualitative content analysis. Among the students of Islamic Azad University of Shiraz, 13 students were selected in a purposeful way until the theoretical saturation of the data and were subjected to a semi-structured interview. Coding of the interviews was done in three steps and manually. Finding : The coding of the interviews shows 5 components of increasing awareness (with the subcomponents of enhancing awareness in various fields, learning techniques and skills, increasing media literacy), strengthening relationships (with the subcomponents of awareness of the conditions of friends and relatives, holding celebrations and occasions and strengthening group connection), addiction to Instagram (with the subcomponents of excessive use of Instagram, failure to handle other tasks and unpleasant mental states when not using Instagram), physical and psychological problems (with the subcomponents of negative effects on sleep, negative effects on attention and concentration, experiencing negative and unpleasant emotions and physical pains) and disruption in social ties (with the subcomponents of increased social comparisons, inequality and injustice, mistrust of others and social scandal). Conclusion : According to these findings, it can be concluded that the expansion of social networks, especially Instagram, in recent years has been associated with positive and negative individual and social consequences, which are necessary and vital to pay attention to by the relevant institutions.

The article presents the results of an aesthetic study of content and visual forms on Instagram, a relatively new social media platform. The study focuses on how the products of digital technology, understood as new artifacts within the postmodern aesthetic framework, have been taken up within the digital culture. The results of the research help us to understand the characteristics of this new social media platform, indicating that Instagram has been highly successful in changing aesthetic criteria and standards and creating new aesthetic forms and content.

The pseudo-events -events that are created through and for the media- are one of the main opportunities to increase the visibility of micro-celebrities and to grow and maintain their audiences. This study aims to find what happens behind the scenes of pseudo-events that micro-celebrities organize. The primary purpose of this article is to study pseudo-events on social media accounts of Iranian female micro-celebrities on Instagram. Therefore, we aim to answer the following questions: What are pseudo-events on Instagram and what are their characteristics? How do Iranian female micro-celebrities create these pseudo-events? And What are the motivations behind creating these events and the way they are held? The methodology of this research is online ethnography and to answer the questions, we conducted unstructured interviews with 16 micro-celebrities and informants on micro-celebrities’ personal lives. Then, raw data were analyzed using the content analysis method. Based on the analysis, the central theme was fake events whose characteristics are: 1. participants (present and absent), 2. time (event occurrence time, event receipt time), 3. location (in real space, on virtual space), 4. etiquettes and form of performance (type of gifts, music, food, and the well-staged nature of events). The findings also showed that in these events, the represented image is more important than the event itself. In fact, these events are designed and performed for filming and display.

Social media platforms like Instagram facilitate connections among individuals through the sharing of images and videos, substantially augmenting the potential for influencing their audience. An area of particular interest that has evolved in recent years, especially with the growth of the virtual space and the visual-centric content on Instagram, is the level of satisfaction individuals have with their physical appearance, particularly among women. Their contentment with their appearance is intricately linked to the idealized beauty standards championed by Instagram beauty bloggers, often inspiring them to emulate or even contrast with these models. In cases where individuals deviate from Instagram's beauty standards, their definition of beauty still reflects certain parallels with these standards. For instance, they do not necessarily consider excess weight as a criterion for beauty, much like the Instagram models, who serve as symbols of conventional beauty, rarely possess excess weight. This qualitative research studied this subject through interviews with six female university students aged 20-30 in Tehran. The study aims to explore the influence of Instagram on their self-perception, satisfaction with their physical appearance, and their notions of beauty and desirable aesthetics. The research process involved a comprehensive review of key concepts and relevant literature, followed by the analysis and comparison of the interview themes. The study's findings, derived from an in-depth examination of these themes and concepts, provide a more profound understanding of the participants' mental constructs within the virtual space, shedding light on the substantial impact of this digital environment on individual mindsets.

The rise of the Internet and the exponential increase in data have made manual data summarization and analysis a challenging task. Instagram social network is a prominent social network widely utilized in Iran for information sharing and communication across various age groups. The inherent structure of Instagram, characterized by its text-rich content and graph-like data representation, enables the utilization of text and graph processing techniques for data analysis purposes. The degree distributions of these networks exhibit scale-free characteristics, indicating non-random growth patterns. Recently, word co-occurrence has gained attention from researchers across multiple disciplines due to its simplicity and practicality. Keyword extraction is a crucial task in natural language processing. In this study, we demonstrated that high-precision extraction of keywords from Instagram posts in the Persian language can be achieved using unsupervised word co-occurrence methods without resorting to conventional techniques such as clustering or pre-trained models. After graph visualization and community detection, it was observed that the top topics covered by news agencies are represented by these graphs. This approach is generalizable to new and diverse datasets and can provide acceptable outputs for new data. To the author's knowledge, this method has not been employed in the Persian language before on Instagram social network. The new crawled data has been publicly released on GitHub for exploration by other researchers. By employing this method, it is possible to use other graph-based algorithms, such as community detections. The results help us to identify the key role of different news agencies in information diffusion among the public, identify hidden communities, and discover latent patterns among a massive amount of data.

In recent years, Instagram has gained considerable attention in scientific research because of its popularity among English language learners. This study aimed to conduct a systematic review of empirical studies that investigated the use of Instagram as a mobile-assisted language learning (MALL) tool in ESL/EFL and attempted to perform a scientific mapping of the literature. To this end, a corpus of studies since 2010 was retrieved in January 2023 from six academic databases and reviewed through the stages of Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). A critical appraisal of 48 experimental studies included in this review was carried out and a meta-analysis of 11 eligible studies was conducted. The results of the meta-analysis confirmed the significant effect size of the use of Instagram in ESL/EFL. The bibliometric analysis revealed that the research productivity is up and found writing and vocabulary skills as the main focus in most of the studies. This study could have implications for teachers and researchers to gain a broad overview of the integration of Instagram in English language teaching and to know the current research trends in the field for future research.

Purpose: The purpose of this research was to provide a model for choosing the best content for the activity of service guilds.Method: In inferential statistics, the K-S test is used for the normality of research hypotheses. For this purpose, Pearson's correlation coefficient and linear regression tests have been used through SPSS 21 software, and the best content generated using genetic algorithms and forbidden search were introduced.Findings: Analysis of research and implementation results with two collective intelligence algorithms shows that Instagram has a positive and significant effect on all four dimensions and thus leads to the success of the service classes that have used Instagram.Conclusion: In this article, a combination model of genetic algorithm and forbidden search algorithm was chosen for users so that the best content, which of course does not contain malicious ads and cookies, etc., is introduced for the continuation of the service industry.

Given a limited understanding of post-COVID customer behavior on social media, this paper seeks to identify consumer behavioral patterns on Facebook and Instagram in the post-COVID era. The research explores all the inner and outer features that might affect the way consumers think or act in the post-COVID era. Hence, a qualitative approach has been adopted to have a more comprehensive and current understanding. The research begins by identifying pertinent factors shaping consumer behavior through an extensive review of existing literature. To refine and validate these factors, the study employs the fuzzy Delphi method, a research technique that involves seeking consensus among a panel of experts. The findings of the research illuminate 24 distinct factors, organized into five main dimensions: contextual, social, content, technological, and product. Notably, the study underscores the significance of product-related factors, technological advancements, content quality, and social interactions in shaping post-COVID consumer behaviors. The product-related factors hold the most substantial influence over consumer behaviors, followed by technological considerations, content quality, and social interactions. Managers should prioritize quality assurance and strategic product categorization. Emphasizing these aspects in product positioning can significantly influence consumer behavior on social media platforms.