Impact Of Comments Research Articles

Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.

Social media networking is a prominent topic in real life, particularly at the current moment. The impact of comments has been investigated in several studies. Twitter, Facebook, and Instagram are just a few of the social media networks that are used to broadcast different news worldwide. In this paper, a comprehensive AI-based study is presented to automatically detect the Arabic text misogyny and sarcasm in binary and multiclass scenarios. The key of the proposed AI approach is to distinguish various topics of misogyny and sarcasm from Arabic tweets in social media networks. A comprehensive study is achieved for detecting both misogyny and sarcasm via adopting seven state-of-the-art NLP classifiers: ARABERT, PAC, LRC, RFC, LSVC, DTC, and KNNC. To fine tune, validate, and evaluate all of these techniques, two Arabic tweets datasets (i.e., misogyny and Abu Farah datasets) are used. For the experimental study, two scenarios are proposed for each case study (misogyny or sarcasm): binary and multiclass problems. For misogyny detection, the best accuracy is achieved using the AraBERT classifier with 91.0% for binary classification scenario and 89.0% for the multiclass scenario. For sarcasm detection, the best accuracy is achieved using the AraBERT as well with 88% for binary classification scenario and 77.0% for the multiclass scenario. The proposed method appears to be effective in detecting misogyny and sarcasm in social media platforms with suggesting AraBERT as a superior state-of-the-art deep learning classifier.

Understanding how embedded peer comments affect student quiz scores, academic writing and lecture note-taking accuracy

PurposeThis study aims to better understand the relationship between peer feedback in the context of online collaborative note-taking and how comments impacted student performance and understanding.Design/methodology/approachThis one sample investigation was of graduate students participating in an academic writing class working collaboratively online. Data was gathered on student feedback during note-taking activity to test for its effects on student performance and understanding.FindingsThe use of peer comments in online note-taking was found to impact student quiz scores and academic writing skills positively. However, no significance was found between comments and the completeness of their notes taken, suggesting its limits to promote deeper understanding.Research limitations/implicationsThe level and detail about the comments made and how accurately they recall the important details from the video lectures is not known. The average number of comments made weekly by each group was also low.Practical implicationsDesigners and teachers using online collaborative activities could benefit by understanding the nature in which peer comments can enhance student learning, bearing in mind the need for explicit guidance in how to comment and at what level of knowledge their comments should target.Social implicationsOnline collaboration, peer editing and commenting is widely used by educators and the public. A better understanding of how these elements operate might improve the quality of knowledge artefacts such as academic writing and research notes.Originality/valueExisting literature focuses mainly on peer feedback on writing or other artefacts; this paper seeks to find out more about the impact of comments in particular on collaborative note-taking.

With whom do consumers interact?

PurposeThe purpose of this study is to investigate the effects of congruent and incongruent anonymous comments posted to an online health news article on personal risk perception. This association is examined through testing the moderating roles of perceived similarity and approval ratings, and the mediating roles of source credibility and content credibility.Design/methodology/approachHypotheses regarding the impact of comments on personal risk perception were tested experimentally using a news article, comments and approval ratings about the ear picking behavior. Data were collected from 391 young Vietnamese respondents.FindingsThe influence of online comments (congruent vs incongruent) on personal risk perception was mediated by source credibility and content credibility. Further, data showed a direct effect of online comments on personal risk perception. Interestingly, the direct and indirect effects of online comments on personal risk perception were observed among participants who perceived that anonymous commenters were similar to them. Approval ratings had neither a main nor interaction effect with comments on the dependent variables.Practical implicationsThe results indicate that marketers should consider online comments as a powerful form of social influence, which may alter consumers’ personal risk perception.Originality/valueThe present study adds to social marketing literature by showing how consumers’ online comments influence personal risk perception in the context of changing media ecosystem.

Examining Opinion Polarization on Social Media Platform Using a Natural Experiment

In recent years, there is a heated discussion on opinion polarization on social media platforms. In this paper, we formulate a hierarchical Bayesian learning model to investigate the dynamics of individual opinion formation, particularly opinion polarization, on a social media platform where individuals are exposed to two sources of social influence: preceding peer microblogs in a microblog chain and comments from general public. We leverage a unique natural experiment contained in the data from a leading microblogging website in China on which comment function was shut down for three days. This setting allows us to identify the impact of comments from that of peer microblogs. We find that shutting down comment function reduces the sentiment polarization on the microblogging site. In addition, this effect is more significant for individuals with higher social media participation. Results of this study shed light on how to identify key users and how to conduct successful social media campaigns.

The personal use of Facebook by public health professionals in Canada: Implications for public health practice

ABSTRACTObjective: We explored attitudes, beliefs, and experiences of Canadian public health professionals (PHPs) and their personal use of Facebook to assess views of online professionalism and blurring between their professional and personal lives.Methods: Ten public health organizations assisted in distributing an online questionnaire to their members. The questionnaire explored Facebook use, personality factors, and beliefs about online etiquette.Results: Among 621 respondents, 77% had a personal Facebook profile. Participants were unlikely to disclose personal information on Facebook. Generally, participants felt posting workday information online was inappropriate; however, 15 and 26% thought it acceptable to vent about the general public, and post comments about people or beliefs that oppose accepted public health views, respectively. Approximately one in four participants (26%) believed that the personal use of Facebook has an impact on one's role as a public health practitioner. One in eight participants (12%) was likely to search for members of the public with whom they had previous professional contact. The need for popularity and awareness of consequences were key predictors of participants' disclosure on Facebook.Conclusions: Overlap between the private and public lives of Canadian PHPs exists on Facebook, and highlights the potential for damage to public health credibility. Future research should evaluate any real-world impact of comments and venting (via personal Facebook profiles) on public health credibility, especially as public health continues to embrace social media for health interventions where online contact between individual employees of public health organizations and members of the general public is increased.

The Impact of Comments and Recommendation System on Online Shopper Buying Behaviour

The author aims at studying the influence of comments and recommendation on online shopping behaviours. With 285 study subjects, the author used experimental research design to study comments and recommendation system on online shopping experience, online shopping satisfaction, online shopping intention and items chosen. The data is analyzed by SPSS 15.0 and LISREL 8.8. The results show that comments and recommendation influence online shopping experience, online shopping satisfaction and online shopping intention directly. Online shopping experience and online shopping satisfaction influence online shopping intention significantly. There is remarkable positive relation between online shopping intention and items chosen.