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92,645 results

151. Literally Looking at Links – Mapping Communication and Content on Twitter

Author

Rehm, Martin, Daly, Alan J., del Fresno, Miguel, Bjorklund, Peter, Jr., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kurbanoğlu, Serap, editor, Špiranec, Sonja, editor, Ünal, Yurdagül, editor, Boustany, Joumana, editor, and Kos, Denis, editor

Published
2022
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153. Operationalizing a Medical Intelligence Platform for Humanitarian Security in Protracted Crises

Author

David, Walter, King-Okoye, Michelle, Sensidoni, Gianluca, Capone, Alessandro, Mugambwa, Irene, Kraynova, Stanislava, Garmendia-Doval, Beatriz, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mazal, Jan, editor, Fagiolini, Adriano, editor, Vasik, Petr, editor, Turi, Michele, editor, Bruzzone, Agostino, editor, Pickl, Stefan, editor, Neumann, Vlastimil, editor, and Stodola, Petr, editor

Published
2022
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154. University Digital Engagement of Students

Author

Pereira, Maria C., Ferreira, João C., Moro, Sérgio, Gonçalves, Frederica, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ardito, Carmelo, editor, Lanzilotti, Rosa, editor, Malizia, Alessio, editor, Larusdottir, Marta, editor, Spano, Lucio Davide, editor, Campos, José, editor, Hertzum, Morten, editor, Mentler, Tilo, editor, Abdelnour Nocera, José, editor, Piccolo, Lara, editor, Sauer, Stefan, editor, and van der Veer, Gerrit, editor

Published
2022
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156. Participation of Transnational Migrants in the Formation of the Host Country Image Through Mass Self-communication

Author

Smoliarova, Anna, Taranova, Yuliya, Vagaitceva, Marianna, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Alexandrov, Daniel A., editor, Boukhanovsky, Alexander V., editor, Chugunov, Andrei V., editor, Kabanov, Yury, editor, Koltsova, Olessia, editor, Musabirov, Ilya, editor, and Pashakhin, Sergei, editor

Published
2022
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157. Anti-vaccination Movement on VK: Information Exchange and Public Concern

Author

Petrov, Igor, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Alexandrov, Daniel A., editor, Boukhanovsky, Alexander V., editor, Chugunov, Andrei V., editor, Kabanov, Yury, editor, Koltsova, Olessia, editor, Musabirov, Ilya, editor, and Pashakhin, Sergei, editor

Published
2022
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158. What is Fake News? Perceptions, Definitions and Concerns by Gender and Political Orientation Among Israelis

Author

Steinfeld, Nili, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Alexandrov, Daniel A., editor, Boukhanovsky, Alexander V., editor, Chugunov, Andrei V., editor, Kabanov, Yury, editor, Koltsova, Olessia, editor, Musabirov, Ilya, editor, and Pashakhin, Sergei, editor

Published
2022
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160. Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics.

Author

Kung JY, Ly K, and Shiri A

Subjects
Humans, Canada, Data Mining, Data Science, Cannabis, Social Media
Abstract

Background: Twitter is rich in data for text and data analytics research, with the ability to capture trends., Objectives: This study examines Canadian tweets on marijuana legalization and terminology used. Presented as a case study, Twitter analytics will demonstrate the varied applications of how this kind of research method may be used to inform library practice., Methods: Twitter API was used to extract a subset of tweets using seven relevant hashtags. Using open-source programming tools, the sampled tweets were analysed between September to November 2018, identifying themes, frequently used terms, sentiment, and co-occurring hashtags., Results: More than 1,176,000 tweets were collected. The most popular hashtag co-occurrence, two hashtags appearing together, was #cannabis and #CdnPoli. There was a high variance in the sentiment analysis of all collected tweets but most scores had neutral sentiment., Discussion: The case study presents text-mining applications relevant to help make informed decisions in library practice through service analysis, quality analysis, and collection analysis., Conclusions: Findings from sentiment analysis may determine usage patterns from users. There are several ways in which libraries may use text mining to make evidence-informed decisions such as examining all possible terminologies used by the public to help inform comprehensive evidence synthesis projects and build taxonomies for digital libraries and repositories., (© 2023 Health Libraries Group.)

Published
2024
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161. When Twitter Meets Advocacy: A Multicultural Undergraduate Research Project from a First-Year Seminar

Author

Maben, Sarah and Helvie-Mason, Lora

Abstract

Two professors share how they combined Web 2.0, multicultural themes, and undergraduate research in a first-year seminar. The professors explain the "perfect storm" of a project in which undergraduate students collected and analyzed tweets from advocates for various multicultural causes to produce their first collegiate research project. Capitalizing on student interest in social networking, professors aimed to meet multiple student learning objectives and satisfy an overarching theme of multiculturalism for the first-year seminar at a university in the southwestern United States. Students analyzed Twitter handles for causes or individuals advocating for causes related to social, political, and humanitarian efforts. Using basic qualitative and quantitative approaches, students wrote undergraduate research papers and presented their findings about how their cause and advocates used Twitter. The article provides project and assessment rubrics, ideas for improvement, and tools for replication.

Published
2017

162. Facebook and TikTok urged to stop exam paper scams; British exam boards say social media giants must do more to prevent GCSE and A-level students from buying fake question sheets

Subjects
Social media, General interest, News, opinion and commentary, Instagram (Online service), Facebook (Online social network)
Abstract

Byline: Blathnaid Corless Meta and TikTok have been urged to crack down on fake GCSE and A-level papers sold on social media. Exam boards have warned that the companies must [...]

Published
2024

163. Investigating Lexical Variation and Change in Malaysian Twitter: A Conceptual Paper.

Author

Gulnazir, Noraishah and Salehuddin, Khazriyati

Subjects
AMERICAN English language, SOCIAL media, VARIATION in language, ENGLISH language, MALAYSIANS, SOCIOLINGUISTICS
Abstract

Social media platforms such as Twitter is constantly transforming the usage of lexical items among global Internet users, including in Malaysia. Interestingly, despite adopting British English in the national education system, American English is gaining prominence among Malaysians due to the widespread dissemination of American English through the media. American English has been classified as a hyper-central language, serving as the hub for global English in Mair's theory of The World System of Englishes. Despite of the magnitude of American English as a global language, there is a dearth of research on how American English is affecting other varieties of English, especially Malaysian English. There is a need to examine the role of American English in leading global language variation and change. Thus, this conceptual paper proposes how the influence of American English on Malaysian English, in terms of lexical items can be investigated on Twitter. This paper demonstrates how two emerging American lexical items lit and on fleek can be investigated in terms of its trend of frequency and patterns of usage in Malaysian Twitter through a number of tools and methods. Results from such a study may be able to reveal the extent to which Malaysian English is influenced by American English in terms of lexical units on Twitter, shedding light on the global transformation of the English language. [ABSTRACT FROM AUTHOR]

Published
2022
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164. SMIAltmetric: A comprehensive metric for evaluating social media impact of scientific papers on Twitter (X).

Author

Wang, Zuzheng, Lu, Yongxu, Zhou, Yuanyuan, and Ji, Jiaojiao

Subjects
MACHINE learning, SOCIAL impact, SCHOLARLY communication, SOCIAL classes, ALTMETRICS, SOCIAL media
Abstract

• A new indicator, SMIAltmetric, for measuring scientific paper's social media impact. • Key impact factors: Followers, retweets, mentions, and Citation. • SMIAltmetric outperforms Altmetric in finer differentiation. The rise of social media has significantly influenced scholarly communication, knowledge dissemination, and research evaluation, leading to the enrichment of alternative metrics (altmetrics) for evaluating academic papers' social impact, which assesses the social impact of academic papers through online activities, including reading, bookmarking, downloading, and commenting. However, these altmetrics often focus on the number of mentions on social media rather than thoroughly evaluating the source, content, and dissemination of these mentions. To address this gap, this study introduces the social media impact altmetric (SMIAltmetric), which is based on 44,087 publications and 860,680 tweets (now "posts"), a comprehensive scoring system for evaluating scientific papers on Twitter (now "X"), using diverse features, including literature-related, social media engagement-related, user-related, and content-related features. Employing Altmetric Attention Acores (AAS) as labels, we tested eight machine learning algorithms, with XGBoost demonstrating the highest accuracy at 0.8672. Crucial factors influencing SMIAltmetric, as identified by the SHAP value, were followers, retweets, mentions, and citation. Furthermore, consistency analysis and convergent validation between the proposed SMIAltmetric and AAS confirm the reliability and finer differentiation of SMIAltmetric. The proposed SMIAltmetric provides a more comprehensive understanding of a paper's social media impact, enhancing the evaluation of scientific discourse and its engagement with society. [ABSTRACT FROM AUTHOR]

Published
2024
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165. From Hype to Insight: Exploring ChatGPT's Early Footprint in Education via Altmetrics and Bibliometrics

Author

Lung-Hsiang Wong, Hyejin Park, and Chee-Kit Looi

Abstract

Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality, methodology, and uniqueness. Objective: Our study employs unconventional methods by combining altmetrics and bibliometrics to explore ChatGPT in education comprehensively. Methods: Two scholarly databases, Web of Science and Altmetric, were adopted to retrieve publications with citations and those mentioned on social media, respectively. We used a search query, "ChatGPT," and set the publication date between November 30th, 2022, and August 31st, 2023. Both datasets were within the education-related domains. Through a filtering process, we identified three publication categories: 49 papers with both altmetrics and citations, 60 with altmetrics only, and 66 with citations only. Descriptive statistical analysis was conducted on all three lists of papers, further dividing the entire collection into three distinct periods. All the selected papers underwent detailed coding regarding open access, paper types, subject domains, and learner levels. Furthermore, we analysed the keywords occurring and visualized clusters of the co-occurring keywords. Results and Conclusions: An intriguing finding is the significant correlation between media/social media mentions and academic citations in ChatGPT in education papers, underscoring the transformative potential of ChatGPT and the urgency of its incorporation into practice. Our keyword analysis also reveals distinctions between the themes of the papers that received both mentions and citations and those that received only citations but no mentions. Additionally, we noticed a limitation that authors' choice of keywords might be influenced by individual subjective judgements, potentially skewing results in thematic analysis based solely on author-assigned keywords such as keyword co-occurrence analysis. Henceforth, we advocate for developing a standardized keyword taxonomy in the educational technology field and integrating Large Language Models to enhance keyword analysis in altmetric and bibliometric tools. This study reveals that ChatGPT in education literature is evolving from rapid publication to rigorous research.

Published
2024
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166. Making an Influence: Sponsorship and Creolization on Social Media

Author

Cheryl A. McLean

Abstract

The growing presence and impact of predominantly female online influencers suggests the proliferation of a cultural phenomenon that characterizes the social aspects of our digital lives. Working with the notion of gender and maker literacies, this paper shines light on newer forms of making practices by looking at influencer cultures of five popular online social media platforms. Situating the research in a Caribbean context, this paper examines the "influencer culture" by looking at the platformized literacy practices of four Caribbean female influencers and using the concepts of literacy sponsorship and creolization as lenses through which to view the interrelationships and accompanying practices between the influencers and their local and global followers. The paper argues that social media platforms are strategically curated digital-maker spaces that influencers use to shift and change literacy practices and perspectives related to gender, language, and culture. Findings from this qualitative study suggest that these influencers' sponsorship of creolized literacies is reflected in their power to enact social change and transformation through advocacy, consciousness, and community-building. The paper concludes by considering the potential for such social actors and their digital-making practices to influence our contemporary global sociocultural and educational landscapes.

Published
2024
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167. PETERS AND MERTZ PAPER ON HUMAN TRAFFICKING ON SOCIAL MEDIA AND ITS IMPLICATIONS FOR BRANDS RECOGNIZED AS BEST IN TRACK BY SOCIETY FOR MARKETING ADVANCES

Subjects
Business ethics, Corporate social responsibility, Business schools, Social media, Human smuggling, Conferences and conventions, Brand equity, College teachers, Marketing, Company marketing practices, News, opinion and commentary, Samford University
Abstract

BIRMINGHAM, AL -- The following information was released by Samford University: by Sofia Paglioni Share this on: Courtney Peters and Breanne Mertz, assistant professors of marketing in Samford University's Brock [...]

Published
2024

168. A Review on Social Media Phishing: Factors and Countermeasures

Author

Chung, Jetli, Koay, Jing-Zhi, Leau, Yu-Beng, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Anbar, Mohammed, editor, Abdullah, Nibras, editor, and Manickam, Selvakumar, editor

Published
2021
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169. RumEval2020-An Effective Approach for Rumour Detection with a Deep Hybrid C-LSTM Model

Author

Kaliyar, Rohit Kumar, Singh, Rajbeer, Laya, Sai N., Sudharshan, M. Sujay, Goswami, Anurag, Garg, Deepak, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Wong, Kit, editor, Sarangapani, Jagannathan, editor, and Gupta, Suneet Kumar, editor

Published
2021
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170. Hostility Detection in Hindi Leveraging Pre-trained Language Models

Author

Kamal, Ojasv, Kumar, Adarsh, Vaidhya, Tejas, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakraborty, Tanmoy, editor, Shu, Kai, editor, Bernard, H. Russell, editor, Liu, Huan, editor, and Akhtar, Md Shad, editor

Published
2021
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171. The Interplay Between Emojis and Linguistic Text

Author

Lau, Helena Yan Ping, Lee, Sophia Yat Mei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Meichun, editor, Kit, Chunyu, editor, and Su, Qi, editor

Published
2021
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172. Cyber Safety Against Social Media Abusing

Author

Jadhav, Yuvraj Anil, Jain, Sakshi Jitendra, More, Bhushan Sanjay, Jadhav, Mayur Sunil, Chaudhari, Bhushan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P. K., editor, Flusser, Jan, editor, Ören, Tuncer, editor, and Sonawane, V. R., editor

Published
2021
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175. Hybrid Movie Recommender System - A Proposed Model

Author

Parida, Prajna Paramita, Gourisaria, Mahendra Kumar, Pandey, Manjusha, Rautaray, Siddharth Swarup, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Pradeep Kumar, editor, Veselov, Gennady, editor, Vyatkin, Valeriy, editor, Pljonkin, Anton, editor, Dodero, Juan Manuel, editor, and Kumar, Yugal, editor

Published
2021
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176. MultiDeepFake: Improving Fake News Detection with a Deep Convolutional Neural Network Using a Multimodal Dataset

Author

Kaliyar, Rohit Kumar, Mohnot, Arjun, Raghhul, R., Prathyushaa, V. K., Goswami, Anurag, Singh, Navya, Dash, Palavi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Wong, Kit, editor, Sarangapani, Jagannathan, editor, and Gupta, Suneet Kumar, editor

Published
2021
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177. Identifying Offensive Content in Social Media Posts

Author

Singh, Ashwin, Ray, Rudraroop, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakraborty, Tanmoy, editor, Shu, Kai, editor, Bernard, H. Russell, editor, Liu, Huan, editor, and Akhtar, Md Shad, editor

Published
2021
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178. g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection

Author

Glazkova, Anna, Glazkov, Maksim, Trifonov, Timofey, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakraborty, Tanmoy, editor, Shu, Kai, editor, Bernard, H. Russell, editor, Liu, Huan, editor, and Akhtar, Md Shad, editor

Published
2021
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179. ConTheModel: Can We Modify Tweets to Confuse Classifier Models?

Author

Ram Vinay, Aishwarya, Alawami, Mohsen Ali, Kim, Hyoungshick, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Park, Younghee, editor, Jadav, Divyesh, editor, and Austin, Thomas, editor

Published
2021
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180. Social Media for Science-Science and Science-Society Connects: Assessing the Readiness in Indian Context through an Analysis of Social Media Visibility of Research Papers.

Author

Singh, Vivek Kumar, Karmakar, Mousumi, Kanaujia, Anurag, and Bhattacharya, Sujit

Subjects
SOCIAL media, SCIENTIFIC communication, SCIENCE & society, SCIENTIFIC community
Abstract

The technological advancements and emergence of new kinds of communication mediums, especially social media and networks, have brought an era of unprecedented connectivity, which can be leveraged for better science communication. This paper explores social media activity around Indian research papers with the objective of evaluating if the quantum of activity is sufficient enough to indicate that social media can be an effective medium of science communication in India. In the absence of any existing survey of social media usage by scientists in India, the paper uses altmetrics as a proxy measure to capture; science communication activities around two major classes, namely, science-science connect and science-society connect. Results indicate that social media activity around Indian research papers is relatively low as compared to the developed countries and also the world average. There is a higher activity in science-science connect (Mendeley) whereas science-society connect is less pronounced (other social media and news). The paper argues that there is a need to expose Indian research community to the opportunities that social media presents and that an appropriate use can be helpful for improved science-science and science-society connects. [ABSTRACT FROM AUTHOR]

Published
2024
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181. A Study of the Influence of Collaboration Networks and Knowledge Networks on the Citations of Papers in Sports Industry in China.

Author

Zhang, Yu, Ding, Jianlan, Yan, Hui, He, Miao, and Wang, Wei

Subjects
CITATION networks, SPORTS business, PAPER industry, SOCIAL network analysis, SOCIAL media, 5G networks
Abstract

A scientific paper's citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks and draw the following conclusions: (1) as for collaboration networks, the degree centrality at the paper level is positively correlated with citations; (2) in the collaboration network, the positive correlation between the structural hole at the paper level and citations does not exist; (3) within knowledge networks, an inverted- U shape was found between degree centrality and paper's citation; and (4) within knowledge networks, a positive correlation is in existence between the structural hole of papers and their citation. This study synthesizes the already widely used collaboration network with the knowledge network constructed through keywords, distinguishes from the previous network features focusing at the author level, and explores research projects of Chinese Sports Industry from the paper level, providing a new perspective for the research of sports industry in China, complementing the methods and ideas of sports industry research, as well as providing a reference for the research in other disciplinary fields. [ABSTRACT FROM AUTHOR]

Published
2022
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183. Threats Against Information Privacy and Security in Social Networks: A Review

Author

Al-Charchafchi, Ahmed, Manickam, Selvakumar, Alqattan, Zakaria N. M., Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Anbar, Mohammed, editor, Abdullah, Nibras, editor, and Manickam, Selvakumar, editor

Published
2020
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184. Environmental Agenda in Protest Campaigns: Components and Results

Author

Sokolov, Alexander, Belyakov, Alexey, Mironova, Svetlana, Frolov, Alexander, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Alexandrov, Daniel A., editor, Boukhanovsky, Alexander V., editor, Chugunov, Andrei V., editor, Kabanov, Yury, editor, Koltsova, Olessia, editor, and Musabirov, Ilya, editor

Published
2020
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185. Analysis of Imitating Behavior on Social Media

Author

Zhong, Ying, Zhang, Haihan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Salvendy, Gavriel, editor, Wei, June, editor, Yamamoto, Sakae, editor, Mori, Hirohiko, editor, Meiselwitz, Gabriele, editor, Nah, Fiona Fui-Hoon, editor, and Siau, Keng, editor

Published
2020
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186. Identifying protective and risk behavior patterns of online communication in young people.

Author

Lowthian E, Fee G, Wakeham C, Clegg Z, Crick T, and Anthony R

Subjects
Adolescent, Humans, Communication, Risk-Taking, Friends, COVID-19 epidemiology, COVID-19 prevention & control, Social Media
Abstract

Introduction: Research has investigated the association between time spent online and mental well-being, however the nuances between specific online behaviors and well-being have been less explored. This research examines how specific online behaviors (i.e., how young people are engaging online and with whom), are associated with one another, and how these patterns of behaviors are related to well-being., Methods: We used the November 2020 and March 2021 Understanding Society COVID-19 Panel data. The sample consisted of 1432 adolescents aged 10-15 years, who participated in November 2020. Latent class analysis was used to explore patterns of online behaviors. We also investigated how sociodemographic characteristics differed across the classes, along with physical, social, and mental well-being as distal outcomes both cross-sectionally and longitudinally., Results: We identified four classes: "Avid users," "Scholars," "Midways," and the "Passengers." The avid users had the highest frequency of posting online content regularly, likewise the scholars also posted online content regularly, however the scholars were differentiated by their higher frequency of schoolwork and news intake online. The midways had more complex activity characterized by talking to friends often and having a social media account, but posted online content less frequently. The passengers were the least active online as they posted pictures and videos less (76% said "never") and only 63% had a social media account. The avid users had the lowest well-being cross-sectionally and longitudinally, and the midways had lower social well-being and appearance dissatisfaction., Conclusions: Online behaviors such as regularly posting or talking to internet-only friends could be related to lower well-being. Policymakers should consider both improving regulations online and building an evidence base to enable caregivers from all backgrounds to support young people., (© 2023 The Authors. Journal of Adolescence published by Wiley Periodicals LLC on behalf of Foundation for Professionals in Services to Adolescents.)

Published
2024
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188. Data-Augmented Emoji Approach to Sentiment Classification of Tweets

Author

de Barros, Tiago Martinho, Pedrini, Helio, Dias, Zanoni, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tavares, João Manuel R. S., editor, Papa, João Paulo, editor, and González Hidalgo, Manuel, editor

Published
2021
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189. Impact of Social Media Marketing on University Students - Peru

Author

Reyna González, Julissa Elizabeth, Flores-Rivas, Víctor Ricardo, Merino Flores, Irene, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Soares, Marcelo M., editor, Rosenzweig, Elizabeth, editor, Marcus, Aaron, editor, Yamamoto, Sakae, editor, Mori, Hirohiko, editor, Rau, Pei-Luen Patrick, editor, Meiselwitz, Gabriele, editor, Fang, Xiaowen, editor, and Moallem, Abbas, editor

Published
2021
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190. The Effect of Social Media Based Electronic Word of Mouth on Propensity to Buy Wearable Devices

Author

Ntumba, David, Budree, Adheesh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Soares, Marcelo M., editor, Rosenzweig, Elizabeth, editor, Marcus, Aaron, editor, Yamamoto, Sakae, editor, Mori, Hirohiko, editor, Rau, Pei-Luen Patrick, editor, Meiselwitz, Gabriele, editor, Fang, Xiaowen, editor, and Moallem, Abbas, editor

Published
2021
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191. Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review

Author

Madkar, Sanat, Maheshwari, Tanay, Merani, Mann, Merchant, Rahil, Doshi, Pankti, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P. K., editor, Flusser, Jan, editor, Ören, Tuncer, editor, and Sonawane, V. R., editor

Published
2021
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193. Scalable and Explainable User Role Detection in Social Media

Author

Kastner, Johannes, Fischer, Peter M., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bellatreche, Ladjel, editor, Dumas, Marlon, editor, Karras, Panagiotis, editor, Matulevičius, Raimundas, editor, Awad, Ahmed, editor, Weidlich, Matthias, editor, Ivanović, Mirjana, editor, and Hartig, Olaf, editor

Published
2021
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196. Analysis and Classification of Some Selected Media Apps Vulnerability

Author

Adebayo, Olawale Surajudeen, Anyam, Joel Sokoyebom, Ganiyu, Shefiu, Salawu, Sule Ajiboye, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Misra, Sanjay, editor, and Muhammad-Bello, Bilkisu, editor

Published
2021
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198. The Muddy Practice of Social Media Crowdsourcing in Bandung City

Author

Mansyur, Muhammad Akram, Homburg, V. M. F., Koppenjan, J. F. M., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Murayama, Yuko, editor, Velev, Dimiter, editor, and Zlateva, Plamena, editor

Published
2021
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199. Web Portal to Support Remote Island for Sightseeing and Disaster Management

Author

Yamamoto, Kayoko, Murayama, Yuko, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Murayama, Yuko, editor, Velev, Dimiter, editor, and Zlateva, Plamena, editor

Published
2021
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200. The Ianos Cyclone (September 2020, Greece) from Perspective of Utilizing Social Networks for DM

Author

Arapostathis, Stathis G., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Murayama, Yuko, editor, Velev, Dimiter, editor, and Zlateva, Plamena, editor

Published
2021
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