Fahim K. Sufi^1,*, Musleh Alsulami²

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3631-3649, 2022, DOI:10.32604/cmc.2022.026272

Abstract The coronavirus disease (COVID-19) pandemic has affected the lives of social media users in an unprecedented manner. They are constantly posting their satisfaction or dissatisfaction over the COVID-19 situation at their location of interest. Therefore, understanding location-oriented sentiments about this situation is of prime importance for political leaders, and strategic decision-makers. To this end, we present a new fully automated algorithm based on artificial intelligence (AI), for extraction of location-oriented public sentiments on the COVID-19 situation. We designed the proposed system to obtain exhaustive knowledge and insights on social media feeds related to COVID-19 in 110 languages through AI-based translation,… More >

Nighat Parveen Shaikh^*, Mumtaz Hussain Mahar

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3145-3158, 2022, DOI:10.32604/cmc.2022.024843

Abstract Recent patterns of human sentiments are highly influenced by emoji based sentiments (EBS). Social media users are widely using emoji based sentiments (EBS) in between text messages, tweets and posts. Although tiny pictures of emoji contains sufficient information to be considered for construction of classification model; but due to the wide range of dissimilar, heterogynous and complex patterns of emoji with similar meanings (SM) have become one of the significant research areas of machine vision. This paper proposes an approach to provide meticulous assistance to social media application (SMA) users to classify the EBS sentiments. Proposed methodology consists upon three… More >

Mubashir Ali¹, Anees Baqir², Hafiz Husnain Raza Sherazi^3,*, Asad Hussain⁴, Asma Hassan Alshehri⁵, Muhammad Ali Imran⁶

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2411-2427, 2022, DOI:10.32604/cmc.2022.024704

Abstract With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades, social media platforms (such as Facebook, Twitter, and Instagram) have consumed a large proportion of time in our daily lives. People tend to stay alive on their social media with recent updates, as it has become the primary source of interaction within social circles. Although social media platforms offer several remarkable features but are simultaneously prone to various critical vulnerabilities. Recent studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression, anxiety,… More >

Adnan Alam Khan^1,2,*, Qamar-ul-Arfeen¹

Journal of Cyber Security, Vol.3, No.4, pp. 201-205, 2021, DOI:10.32604/jcs.2021.024614

Abstract Technology is expanding like a mushroom, there are various benefits of technology, in contrary users are facing serious losses by this technology. Furthermore, people lost their lives, their loved ones, brain-related diseases, etc. The industry is eager to get one technology that can secure their finance-related matters, personal videos or pictures, precious contact numbers, and their current location. Things are going worst because every software has some sort of legacy, deficiency, and shortcomings through which exploiters gain access to any software. There are various ways to get illegitimate access but on the top is Linux Kali with QRLjacker by user… More >

Shahid Mehmood¹, Imran Ahmad¹, Muhammad Adnan Khan^1,2, Faheem Khan³, T. Whangbo^3,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5603-5618, 2022, DOI:10.32604/cmc.2022.023785

Abstract Education sector has witnessed several changes in the recent past. These changes have forced private universities into fierce competition with each other to get more students enrolled. This competition has resulted in the adoption of marketing practices by private universities similar to commercial brands. To get competitive gain, universities must observe and examine the students’ feedback on their own social media sites along with the social media sites of their competitors. This study presents a novel framework which integrates numerous analytical approaches including statistical analysis, sentiment analysis, and text mining to accomplish a competitive analysis of social media sites of… More >

Hafiz Abid Mahmood Malik^*

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1737-1750, 2022, DOI:10.32604/cmes.2022.018015

Abstract To discover and identify the influential nodes in any complex network has been an important issue. It is a significant factor in order to control over the network. Through control on a network, any information can be spread and stopped in a short span of time. Both targets can be achieved, since network of information can be extended and as well destroyed. So, information spread and community formation have become one of the most crucial issues in the world of SNA (Social Network Analysis). In this work, the complex network of twitter social network has been formalized and results are… More >

Maliheh Shadi¹, Nooshin Peyman², Ali Taghipour³, Alireza Jafari⁴, Hadi Tehrani^2,*

International Journal of Mental Health Promotion, Vol.24, No.1, pp. 25-38, 2022, DOI:10.32604/IJMHP.2021.017343

Abstract The present study was conducted aiming at investigating the effect of social media-based intervention according to the Theory of Planned Behavior (TPB) to control the academic stress of the students. This study comes in two descriptive and quasi-experimental sections in the Academic Year 2018–19. In order to determine the effect of planned behavioral constructs on stress levels, the descriptive study was conducted on 320 students. The quasiexperimental study was organized to determine the effect of a social media-based educational intervention on the TPB on 180 students. Data collection was conducted through questionnaires of personal information, Gadzella’s Student-Life Stress Inventory, and… More >

Raja Omar Bahatheg^*

International Journal of Mental Health Promotion, Vol.24, No.1, pp. 95-114, 2022, DOI:10.32604/ijmhp.2022.015169

Abstract This study investigated the impact of social media and media on children’s body satisfaction in early childhood. The effect of social media and media on children’s body image and differences between girls’ and boys’ acceptance of their body image were explored. A questionnaire and an illustrated body satisfaction scale were distributed to a sample of 491 children in Saudi Arabia (246 girls, 245 boys) aged 5–7 years. The results revealed differences between children’s responses to the illustrated body satisfaction scale and questionnaire. Questionnaire data revealed children were satisfied with their body image (91.4%, standard deviation [SD] 0.53), skin color (91.2%,… More >

Abdulqader M. Almars^*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3091-3106, 2022, DOI:10.32604/cmc.2022.022609

Abstract Depression is a common mental health issue that affects a large percentage of people all around the world. Usually, people who suffer from this mood disorder have issues such as low concentration, dementia, mood swings, and even suicide. A social media platform like Twitter allows people to communicate as well as share photos and videos that reflect their moods. Therefore, the analysis of social media content provides insight into individual moods, including depression. Several studies have been conducted on depression detection in English and less in Arabic. The detection of depression from Arabic social media lags behind due the complexity… More >

Anwer Mustafa Hil¹, Fahd N. Al-Wesabi², Hadeel Alsolai³, Ola Abdelgney Omer Ali⁴, Nadhem Nemri⁵, Manar Ahmed Hamza^1,*, Abu Sarwar Zamani¹, Mohammed Rizwanullah¹

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3921-3936, 2022, DOI:10.32604/cmc.2022.022301

Abstract Social media is a platform in which user can create, share and exchange the knowledge/information. Social media marketing is to identify the different consumer's demands and engages them to create marketing resources. The popular social media platforms are Microsoft, Snapchat, Amazon, Flipkart, Google, eBay, Instagram, Facebook, Pin interest, and Twitter. The main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their needs. Disruptive technology is replacing old approaches in the social media marketing to new technology-based marketing. However, this disruptive technology creates some issues like fake news, insecure,… More >