Twitter matters for metaverse stocks amid economic uncertainty by Ahmet Faruk Aysan (11902115)

“…<p>The study examines the relationship between economic uncertainty, as measured by the Twitter-based economic uncertainty index (TEU), and Metaverse stocks across different time-frequency domains. …”

Psychology and morality of political extremists: evidence from Twitter language analysis of alt-right and Antifa by Meysam Alizadeh (19678720)

“…We revisit the debate over the psychological and moral appeal of extremism in the U.S. context by analyzing Twitter data of 10,000 political extremists and comparing their text-based psychological constructs with those of 5000 liberal and 5000 conservative users. …”

A New Tool for Public Health Opinion to Give Insight Into Telemedicine: Twitter Poll Analysis by Josep Vidal-Alaball (10224958)

“…Moreover, Twitter polls are completely anonymized.</p><p><br></p><h3>Objective:</h3><p dir="ltr">The overall aim of this study was to develop and disseminate Twitter polls based on existing surveys to gain real-time feedback on public views and opinions toward telemedicine.…”

Digital diplomacy during the first 100 days: How GCC ministries of foreign affairs and ministers tweeted the blockade by Tarfa Al-Mansouri (20362815)

“…This paper focuses on the different ways the ministries of foreign affairs (MOFAs) and the ministers of foreign affairs (MFAs) used Twitter as an instrument of digital diplomacy during the first 100 days of the GCC crisis. …”

Criminal Behavior Identification Using Social Media Forensics by Noorulain Ashraf (17541996)

PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…Anxiety and depression can have a significant impact on students’ academic performance, however, these mental health impacts were increased during the Covid-19 pandemic, and accordingly students and parents need some people to share their feelings together; however, there are different types of social media apps and platforms such as Facebook, Twitter, Reddit, Instagram, and others. …”
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…Anxiety and depression can have a significant impact on students’ academic performance, however, these mental health impacts were increased during the Covid-19 pandemic, and accordingly students and parents need some people to share their feelings together; however, there are different types of social media apps and platforms such as Facebook, Twitter, Reddit, Instagram, and others. …”
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Arabia Felix 2.0 by Shehhi, Aamna Al

“…A large social media dataset, spanning 2013 to 2017, was extracted from Twitter. More than 17 million Twitter messages (tweets), written in Arabic and English and posted by users based in the UAE, were analyzed. …”
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Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu by Ayesha Atif (22155133)

“…With the increasing prevalence of social media platforms, such as Twitter, online abusive behavior has become a significant issue that often leads to unpleasant experiences for users. …”

Domain Adaptation with Adversarial Training and Graph Embeddings by Firoj Alam (14158866)

“…Our experiments with two real-world crisis datasets collected from Twitter demonstrate significant improvements over several baselines.…”

Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

“…While all the models significantly outperform the keyword-based baseline classifier, XGBoost using all features performs the best (F1 = 0.92). …”

Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

“…Subsequently, the selected classifier is applied on a real-life large Twitter dataset, which includes around two million tweets, to extract positive/negative/neutral sentiments. …”
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Social Media Use and Body Checking Among Lebanese Adults by Korkomaz, Aya

“…Instagram, Facebook, Snapchat, TikTok, and Twitter were associated with increased body checking whereas Facebook Messenger, LinkedIn, and YouTube were not. …”
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A New Forensic Video Database for Source Smartphone Identification: Description and Analysis by Younes Akbari (16303286)

“…On the other hand, rapidly growing internet technology has contributed significantly to the widespread use of digital video via web-based multimedia systems and mobile smartphone applications such as YouTube, Facebook, Twitter, WhatsApp, etc. …”

Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

“…The widespread engagement with social media platforms in recent years has made cyberbullying a significant concern. Individuals may have catastrophic side effects from that as well, including despair, anxiety, and even suicide. …”
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A New Dataset for Forged Smartphone Videos Detection: Description and Analysis by Younes Akbari (16303286)

“…<p dir="ltr">The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. …”