Technology Acceptance Model and Social Media Influence On Public Relations Practice in Nigeria (Published)
This paper is focused on how Technology Acceptance Model (TAM) has influenced public relations practitioners’ use of social media in their PR communications. It was established that Perceived ease of use and Perceived usefulness of a technology, in this instance social media has a direct link on whether the PR practitioner will use it in his PR communication. Public relations is not just building and sustaining mutually beneficial relationship between an organization and its publics through traditional public relations tools. Public relations has gone beyond image building and sustenance of goodwill with the aid if conventional PR tools. The onus of this responsibility rest on the public relations practitioner who has been allocated this responsibility. The advent of social media has impacted the activities of public relations practitioners in their PR duties in Nigeria.
Citation: Igben H.G.O. and Ugbome M. (2023) Technology Acceptance Model and Social Media Influence On Public Relations Practice in Nigeria, European Journal of Computer Science and Information Technology, Vol.11, No.1, pp.22-29
Keywords: Public Relations, Social media, Technology Acceptance Model (TAM)
Academic Performance of Universities and Polytechnics Students: The Impact of Social Media (Published)
Do social media indeed have an effect on the academic performance of students? And is the social media being fully utilized for the right purpose? These questions are some of the issues that this research tried to answer. This research is on the academic performance of university and polytechnic students and the impact that social media has on the students’ academic performance. Six institutions were used for the study; three polytechnics and three universities were selected. Students were randomly selected from the various institutions and the total population was 200 students. The study found out that students used more of facebook and whatsapp as social media for their various interactions and activities on social media. Facebook accounted for 60% of the population of the study that used it while the remaining 40% was for whatsapp. Even though some students used other media they predominantly used these two more frequently. The study found out that there is an impact that social can make on the academic performance of students if their habits can be changed in the positive direction.
Keywords: : Academic Performance, Social media, Students
Empirical Study of Features and Unsupervised Sentiment Analysis Techniques for Depression Detection in Social Media (Published)
This study provides an empirical evaluation of diverse traditional learning, deep learning, and unsupervised techniques based on diverse sets of features for the problem of depression detection among Twitter and Reddit users. The main objective of this study is to investigate the most appropriate features, document representations, and text classifiers for the significant problem of depression detection on social media microblogs, such as tweets, as well as macroblogs, such as posts on Reddit. The study’s investigation will concentrate on the linguistic characteristics, blogging behavior, and topics for features, multi-word, and word embeddings for document representation as well as on unsupervised learning for text clustering. This study will select the best approaches in the literature as baselines to practically examine them on the depressive and non-depressive dataset of blogs designed for this work. The study’s integrations and ensembles of the selected baselines will be experimented as well to recommend a design for an effective social media blog classifier based on unsupervised learning and WE document representation. The study concluded that the experiments proved that a stacking ensemble of Adam Deep Learning with SOM clustering followed by Agglomerative Hierarchical clustering with topic features and pre-trained word2vec embeddings achieved an accuracy more than 92% on Twitter and Reddit depression analysis datasets.
Keywords: Analysis, Depression, Social media, computing., data analytics, empirical study
Opinion Mining In Big Data: Trend of Thinking for Big Data Era (Published)
This ear with the rapidly growing of internet and network using there are a huge data that have been introduced, Big Data are now on the double expanding rabidly in all domains, including opinion and sentiment analysis, for there are many social media and other websites that offer chances to provide the visitors and customers to post their opinion which usually contains valuable information that could be helpfully for several issues. And there are different methods and techniques that proposed to face this huge data and the big social data to make it more beneficial for several fields. This Paper introduces the big data and the most common it is usage and challenge, and it also investigate the sentiment analysis and it is common techniques and thinking about it is futures. This paper also thinking about the future of big data and opinion mining is clearly discussed and thinking about the future of big data and opinion mining. And the paper will discuss the challenges that facing the big data and opinion mining.
Keywords: Big Data, Data mining, Social media, opinion mining
Temporary Social Media (Published)
Social Media has gain popularity in the last few years and have infiltrated mainstream of human endeavour such as businesses, academics environment, politics, industries, etc because of its relevance in social networking and the high rate of content shared across the platform. Even with the high rate of usage of this social media, sometimes people wish that some of the post on this platform vanishes as some are made out of error or emotional distress. This paper introduced the subject social media, describe what is social media, how to join the social media network such as Facebook, twitter, and mainstream of social media. Also discussed the advantages and disadvantages of social media and future of social media, where we stated that temporary social media holds great promises for the future users of social network sites
Keywords: Facebook, Network, Social media, Temporary, Twitter