Yoseph Mamo
Biographic Data
| ID | 6770529 |
|---|---|
| NAME | Yoseph Mamo |
| GIVEN NAMES | Yoseph |
| FAMILY NAME | Mamo |
| SIGNATURE | MAMO Y |
| AFFILIATIONS | Old Dominion University |
| ORCID | 0000-0001-5171-5186 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Examining the socioemotional outcomes of social justice efforts on social media users
Despite the growing interest in social justice activities, there is a lack of empirical evidence regarding their impact on various stakeholders, particularly social media users. We gathered longitudinal data from the NFL's @inspirechange X (former Twitter) account, a designated social justice communication handle, between August 2019 and March 2023. During this timeframe, the account garnered 20,967 comments (including original tweets and retweet…
Machine Learning in Sport Social Media Research
In tandem with the burgeoning popularity of social media research in the field of sport communication and marketing, we are witnessing a concomitant rise in its epistemological sophistication. Despite this growth, the field has given less attention to methodological issues and implications. In light of the development of machine learning, the overarching goal of the current research was to answer the call for innovative methodological approaches …
Light in the middle of the tunnel? A sentimental analysis of tourist responses to ongoing crisis
Assessing how tourists respond to ongoing crises is essential but is a barely explored research topic. Drawing from Chaos–complexity theory, this research examines sentiment changes amidst crises and analyses factors influencing tourist sentiments during crises. Sentiment analysis was conducted to identify travelers’ positive and negative opinions extracted from the tweeter. The sentiment of each tweet was detected through a lexicon-based classif…
“I Feel Qatari Today […] I Feel Disabled Today, […] I Feel Like a Migrant Worker Today…”
This study examines the public’s perceptions of a speech delivered by FIFA’s president in a press conference one day before the Qatar 2022 FIFA Men’s World Cup. In total, 34,714 publicly available user responses were collected from news media YouTube channels in North America, Europe, and Asia, as well as from Twitter hashtags related to the press conference. This user-generated content was analyzed using sentiment analysis to determine the degre…
Individuals’ Motivations and Engagement With Paralympic Content on Social Media
Despite the recent growth in Paralympic sport programming and viewership on social media, there remains a limited understanding of social media users’ motivations for consuming and engaging with Paralympic content. Drawing on Uses and Gratifications (U&G) theory, the purpose of this study is to examine the motivations of social media users for consuming Paralympic content and the relationship between different types of motivations and social medi…
Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors
ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th…
Big Data and Innovative Research Methods
Big data and innovative research methods are two rapidly evolving trends that are transforming how we conduct research in sport management. Considering the natural relationship between social media, which is widely recognized as a major big-data source, and sport, this commentary centers on contemporary research method applied to social media data. In doing so, it discusses contemporary innovative techniques for social media data, focusing on exp…
Individuals’ Motivations and Engagement With Paralympic Content on Social Media
Despite the recent growth in Paralympic sport programming and viewership on social media, there remains a limited understanding of social media users’ motivations for consuming and engaging with Paralympic content. Drawing on Uses and Gratifications (U&G) theory, the purpose of this study is to examine the motivations of social media users for consuming Paralympic content and the relationship between different types of motivations and social medi…
Big Data and Innovative Research Methods
Big data and innovative research methods are two rapidly evolving trends that are transforming how we conduct research in sport management. Considering the natural relationship between social media, which is widely recognized as a major big-data source, and sport, this commentary centers on contemporary research method applied to social media data. In doing so, it discusses contemporary innovative techniques for social media data, focusing on exp…
Machine Learning in Sport Social Media Research
In tandem with the burgeoning popularity of social media research in the field of sport communication and marketing, we are witnessing a concomitant rise in its epistemological sophistication. Despite this growth, the field has given less attention to methodological issues and implications. In light of the development of machine learning, the overarching goal of the current research was to answer the call for innovative methodological approaches …
Light in the middle of the tunnel? A sentimental analysis of tourist responses to ongoing crisis
Assessing how tourists respond to ongoing crises is essential but is a barely explored research topic. Drawing from Chaos–complexity theory, this research examines sentiment changes amidst crises and analyses factors influencing tourist sentiments during crises. Sentiment analysis was conducted to identify travelers’ positive and negative opinions extracted from the tweeter. The sentiment of each tweet was detected through a lexicon-based classif…
“I Feel Qatari Today […] I Feel Disabled Today, […] I Feel Like a Migrant Worker Today…”
This study examines the public’s perceptions of a speech delivered by FIFA’s president in a press conference one day before the Qatar 2022 FIFA Men’s World Cup. In total, 34,714 publicly available user responses were collected from news media YouTube channels in North America, Europe, and Asia, as well as from Twitter hashtags related to the press conference. This user-generated content was analyzed using sentiment analysis to determine the degre…
Individuals’ Motivations and Engagement With Paralympic Content on Social Media
Despite the recent growth in Paralympic sport programming and viewership on social media, there remains a limited understanding of social media users’ motivations for consuming and engaging with Paralympic content. Drawing on Uses and Gratifications (U&G) theory, the purpose of this study is to examine the motivations of social media users for consuming Paralympic content and the relationship between different types of motivations and social medi…
Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors
ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th…
Examining the socioemotional outcomes of social justice efforts on social media users
Despite the growing interest in social justice activities, there is a lack of empirical evidence regarding their impact on various stakeholders, particularly social media users. We gathered longitudinal data from the NFL's @inspirechange X (former Twitter) account, a designated social justice communication handle, between August 2019 and March 2023. During this timeframe, the account garnered 20,967 comments (including original tweets and retweet…
Political science (5 works) · Psychology (5 works) · Sociology (5 works) · Sports, Gender, and Society (5 works) · Social media (4 works) · Social science (4 works) · Sport and Mega-Event Impacts (4 works) · Computer Science (3 works) · Public relations (3 works) · Social Psychology (3 works)