Document Type : Original Article
Authors
1 Assistant Professor Communications, Faculty of World Studies, University of Tehran, Tehran, Iran
2 Tehran University Introduction Until a few decades ago, during the era of mass media, important players of the media environment were the major media outlets that sought to capture more of people's attention, eyes, and minds through their printed or broadcasted materials. They aimed to persuade people to show certain political behaviors or purchase particular products (Khanlari & Zamanian, 2013; Rahimnia, Ramezani, & Zargaran, 2018). However, today, with the emergence of social media, the realm of communication has become a playground for billions of individuals who spend a significant portion of their lives engaging in receiving, sending, sharing, reposting, and sometimes creating messages. The success of the users on these networks is usually evaluated by factors such as the number of their followers and the number of likes and shares their materials get. This study is an effort to provide an explanation for the differing longevity and impact of different social media messages. Every day millions of social media messages compete for attention from the users and survival and dissemination on the network. Not only public relations agents, advertising, and marketing departments, but also individuals who create and share content on social media compete to get more likes and shares on a daily basis. The present study is the result of an attempt to better understand the factors that make a message more likable, shareable, and durable on social media and employs a quasi-experimental method. This study assumes that beliefs are the determining factor in individuals' relationship with messages including social media messages. The study’s hypothesis is that a practical way to explain the different faiths of social media messages is to examine the relationships between the beliefs held by the members of social media (nodes of the network) and their reactions to social media messages. This is to say, if we have a comprehensive understanding of people’s beliefs we may be able to practically explain and even predict their behaviors on social media – namely by predicting the messages they would like, share, and so on. Methodology The project was conducted in two steps. In the first step, a thematic analysis of the messages posted on popular Instagram pages was conducted. Through this, several recurring ideas were extracted. Consequently, two specific beliefs were chosen from the pool of extracted ideas: ‘Iran is a significant military power' and 'Prayers help countries progress'. The second step was a quantitative survey. Here, the researchers designed a two-part questionnaire. In the first part, the level of adherence of individuals to each of the two chosen beliefs was measured using the Likert scale. The second part of the questionnaire included several messages that were related to the two beliefs. The participants were asked to indicate their responses to the messages through likes, comments, and shares. The questionnaire was completed by 393 residents of Tehran. After the data collection was completed, the questionnaire data was analyzed using the statistical analysis application, SPSS, in order to find any significant relationships between the participants’ beliefs and their reactions to the messages. The goal of the analysis was mainly to check if such a method would be practical to explain or predict people’s reactions if we have an understanding of their beliefs. The analysis resulted in several significant relationships which indicates that the proposed method could be practical and useful. Findings When a message contained an idea related to belief A, the people who believed in A were more likely to like the message. The same was observed with belief B. Interestingly when a message contained ideas related to the two beliefs, the people who were the most likely to like those messages were the people who both believed in A and B. The findings showed that it is practical to survey people’s ideas and beliefs and then explain their reactions to messages on social media. Clearly, this is only preliminary work on a small sample of ideas. In order to be able to predict people’s reactions to a wide range of messages online, one would gain a detailed understanding of their ideas and beliefs on many different topics. Also, more complicated mathematical analysis would be required to gain high predicting power when it comes to incorporating our wide knowledge about people’s beliefs into a practical way to understand their reactions to different messages. It should be mentioned that some of the relationships observed in this study indicate weak relationships between beliefs and the desired reactions, the fact that there is a relationship, and in most cases, these relationships are in the medium to strong range, gives hope for further studies and more accurate predictions. It is important to keep in mind that the goal of this study is not to manipulate individuals' beliefs and attitudes to a specific political or economic behavior or action in social media networks. A much more valuable and different interpretation of these types of studies is that as actors, policymakers, or even ordinary individuals, in order to be able to communicate with people in the age of social media and be seen and heard and face less neglect or negative reactions from people, we need to know their mindsets, beliefs, and concerns. This study revealed that messages inherently carry beliefs, and by identifying individuals' adherence to these beliefs and assessing their behavior in response to belief-laden messages, the destiny of a message can be predicted to some extent. Furthermore, gaining insights into people's online behavior through this approach holds crucial implications for politicians and activists: The key to truly understanding people's actions on social media lies in comprehending their beliefs, concerns, pains, problems, fears, and hopes. Scientific research offers an effective and reliable means of understanding people's perspectives, and beliefs, and how these factors influence their responses to messages within the realm of social media.
3 University of Tehran / PhD candidate
Abstract
In the age of social media, predicting people's reactions to messages has been the subject of many studies. Previous studies have attempted to achieve this goal by using users' personality or demographic characteristics. We attempted to find significant relationships between people's beliefs and their behaviors toward messages on social media using a creative quasi-experimental approach. The study was conducted in two steps. In the first step, we performed thematic analysis on Instagram posts to extract various ideas. Subsequently, we deliberately selected two specific beliefs from the pool of extracted ideas: ‘Iran is a significant military power' and 'Prayers help countries progress'. Through a researcher-designed questionnaire, we attempted to measure the participants’ adherence to each belief, and their reaction to messages that contain one or both of the beliefs. We found significant relationships between the respondents' beliefs and their reactions to the messages, indicating that surveying people's beliefs and predicting their responses to certain social media messages could be practical.
Keywords
Main Subjects
INTRODUCTION
Until a few decades ago, during the era of mass media, important players of the media environment were the major media outlets that sought to capture more of people's attention, eyes, and minds through their printed or broadcasted materials. They aimed to persuade people to show certain political behaviors or purchase particular products (Khanlari & Zamanian, 2013; Rahimnia, Ramezani, & Zargaran, 2018). However, today, with the emergence of social media, the realm of communication has become a playground for billions of individuals who spend a significant portion of their lives engaging in receiving, sending, sharing, reposting, and sometimes creating messages. The success of the users on these networks is usually evaluated by factors such as the number of their followers and the number of likes and shares their materials get. This study is an effort to provide an explanation for the differing longevity and impact of different social media messages.
Every day millions of social media messages compete for attention from the users and survival and dissemination on the network. Not only public relations agents, advertising, and marketing departments, but also individuals who create and share content on social media compete to get more likes and shares on a daily basis. The present study is the result of an attempt to better understand the factors that make a message more likable, shareable, and durable on social media and employs a quasi-experimental method.
This study assumes that beliefs are the determining factor in individuals' relationship with messages including social media messages. The study’s hypothesis is that a practical way to explain the different faiths of social media messages is to examine the relationships between the beliefs held by the members of social media (nodes of the network) and their reactions to social media messages. This is to say, if we have a comprehensive understanding of people’s beliefs we may be able to practically explain and even predict their behaviors on social media – namely by predicting the messages they would like, share, and so on.
METHODOLOGY
The project was conducted in two steps. In the first step, a thematic analysis of the messages posted on popular Instagram pages was conducted. Through this, several recurring ideas were extracted. Consequently, two specific beliefs were chosen from the pool of extracted ideas: ‘Iran is a significant military power' and 'Prayers help countries progress'. The second step was a quantitative survey. Here, the researchers designed a two-part questionnaire. In the first part, the level of adherence of individuals to each of the two chosen beliefs was measured using the Likert scale. The second part of the questionnaire included several messages that were related to the two beliefs. The participants were asked to indicate their responses to the messages through likes, comments, and shares. The questionnaire was completed by 393 residents of Tehran.
After the data collection was completed, the questionnaire data was analyzed using the statistical analysis application, SPSS, in order to find any significant relationships between the participants’ beliefs and their reactions to the messages. The goal of the analysis was mainly to check if such a method would be practical to explain or predict people’s reactions if we have an understanding of their beliefs. The analysis resulted in several significant relationships which indicates that the proposed method could be practical and useful.
FINDINGS
When a message contained an idea related to belief A, the people who believed in A were more likely to like the message. The same was observed with belief B. Interestingly when a message contained ideas related to the two beliefs, the people who were the most likely to like those messages were the people who both believed in A and B. The findings showed that it is practical to survey people’s ideas and beliefs and then explain their reactions to messages on social media.
Clearly, this is only preliminary work on a small sample of ideas. In order to be able to predict people’s reactions to a wide range of messages online, one would gain a detailed understanding of their ideas and beliefs on many different topics. Also, more complicated mathematical analysis would be required to gain high predicting power when it comes to incorporating our wide knowledge about people’s beliefs into a practical way to understand their reactions to different messages.
It should be mentioned that some of the relationships observed in this study indicate weak relationships between beliefs and the desired reactions, the fact that there is a relationship, and in most cases, these relationships are in the medium to strong range, gives hope for further studies and more accurate predictions. It is important to keep in mind that the goal of this study is not to manipulate individuals' beliefs and attitudes to a specific political or economic behavior or action in social media networks. A much more valuable and different interpretation of these types of studies is that as actors, policymakers, or even ordinary individuals, in order to be able to communicate with people in the age of social media and be seen and heard and face less neglect or negative reactions from people, we need to know their mindsets, beliefs, and concerns.
This study revealed that messages inherently carry beliefs, and by identifying individuals' adherence to these beliefs and assessing their behavior in response to belief-laden messages, the destiny of a message can be predicted to some extent. Furthermore, gaining insights into people's online behavior through this approach holds crucial implications for politicians and activists: The key to truly understanding people's actions on social media lies in comprehending their beliefs, concerns, pains, problems, fears, and hopes. Scientific research offers an effective and reliable means of understanding people's perspectives, and beliefs, and how these factors influence their responses to messages within the realm of social media.