UCred: fusion of machine learning and deep learning methods for user credibility on social media

Verma, Pawan Kumar; Agrawal, Prateek; Madaan, Vishu; Gupta, Charu

doi:10.1007/s13278-022-00880-1

Cited by 13 publications

(9 citation statements)

References 21 publications

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“…The results of the study demonstrated that the news media has a constructive effect on the overall performance of the organization. These findings are in line with the findings of a study that was carried out by Verma et al ( 2022 ), which stated that when people found positive news about an organization, it had a positive impact on stakeholders and employees, which caused performance to improve positively. These findings align with the findings of the study that was carried out.…”

Section: Discussionsupporting

confidence: 91%

Impact of entrepreneurial orientation and risk sharing on organizational performance influencing role of news media and public opinion

Zhi-xiu

Xing²

2023

Front. Psychol.

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An entrepreneurial orientation is a method of implementing a strategy that makes use of a variety of resources that are owned by organizations. Entrepreneurial orientation is one of the primary factors that led to the company's founding. Risk sharing is a useful tactic that can be implemented by businesses in order to mitigate the amount of risk to which they are exposed. As a consequence of this, the objective of the research is to ascertain how the performance of an enterprise can be affected by the presence of both an entrepreneurial orientation and shared risk. The proliferation of news media has led to modifications in the ways in which businesses carry out their day-to-day operations, which in turn has an effect on the overall success of the organization. As a direct consequence of this, the research looked into the function that the news media play as a moderator of the connections that exist between entrepreneurial orientation, risk sharing, and the level of performance achieved by organizations. Even for enormous, well-known businesses that are active on a global scale, damaging publicity has the potential to lower the value of their companies. The aim of this study was to investigate the impact of entrepreneurial orientation and risk sharing on organizational performance with the mediating role of news media and moderating role of public opinion. In order to achieve the objective of the study, a quantitative research approach was utilized. Data were collected from 450 managers of SMEs with the help of a questionnaire that was adapted from previous studies. A simple random sampling technique was used to collect data. The findings of the study showed that the relationship between entrepreneurial orientation, risk sharing, and organizational performance is positive and significant. The findings also showed that news media significantly mediated this relationship and public opinion moderated the relationship between news media and organizational performance. The current study has some practical and managerial implications which help SMEs to increase their performance.

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Section: Discussionsupporting

confidence: 91%

Impact of entrepreneurial orientation and risk sharing on organizational performance influencing role of news media and public opinion

Zhi-xiu

Xing²

2023

Front. Psychol.

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“…One of the most important channels for spreading true and false news is online social networking (OSN). Many OSN users use fake or social bot accounts to spread malicious data, fake news, and hoaxes for economic, political, and entertainment purposes (Verma et al, 2022). The lies created during the Post-Truth era used a variety of emotional responses and inspired interest groups to act on their main instincts that support a particular political agenda.…”

Section: Public Emotions About Hoax Information In Social Media Newsmentioning

confidence: 99%

Sentiments Analysis on Twitter Towards Hoax Information on Social Media News

Suherman,

Ferdi,

Maulana

et al. 2024

JIK

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Hoaxes are a perilous byproduct of huge technology advancements, particularly the rise of social media. Using Twitter as an example, it is one of the most popular social media platforms for information sharing, communication, and entertainment. As a consequence, Twitter users may readily propagate fake or hoax information. The aim of this study is to find public opinion about hoaxes derived from Twitter user conversations around COVID-19. This study makes use of Twitter data obtained from Drone Emprit Academic. This study examined all processed tweets and surveyed public opinion on "Hoaks" (including mentions, retweets, and replies). The DEA engine analyzes the word frequency and mood of Twitter users to determine if a predominant emotion is good, negative, or neutral. According to the study results, netizens remarked on the COVID-19, alleging that the appearance of the Delta type variation was caused by the vaccination, not the virus. They do not regularly check facts owing to boredom, laziness, and reliance on just one source of information verification. Furthermore, only information that corresponds to their interests and needs will be approved. Thus, via discourse about Hoax, social media allows the formation of a platform for mutual understanding, sharing, and dynamically debating the meaning of demonstrations. This research provides a contribution to the disclosure of information about public opinion towards a discourse discussed on Twitter with the help of a DEA engine.

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“…Meanwhile, [5] introduces the CredRank algorithm, which calculates user credibility in OSNs by analyzing user behavior where authors grouped users based on behavioral similarities. The author in [64] presents the UCred (User Credibility) model, a fusion of machine learning and deep learning methods like RoBERT (Robustly optimized BERT), Bi-LSTM (Bidirectional LSTM), and RF (Random Forest), with the output integrated into a voting classifier for improved TUCD accuracy. Another hybrid strategy proposed by [57] integrates sentiment analysis with a social network to identify features applicable to TUCD.…”

Section: Literature Reviewmentioning

confidence: 99%

Detecting User Credibility on Twitter using a Hybrid Machine Learning Model of Features’ Selection and Weighting

Abid-Althaqafi,

Alsalamah

2024

ijacsa

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With the pervasive and rapidly growing presence of the internet and social media, creating untrustworthy accounts has become effortless, allowing fake news to be spread for personal or private interests. As a result, it is crucial in this era to investigate the credibility of users on social networking platforms such as Twitter. In this research, we aim to integrate existing solutions from previous research to create a hybrid model. Our approach is based on selecting and weighting features using supervised machine learning methods such as ExtraTressClarifier, correlation-based algorithm methods, and SelectKBest to extract new ranked and weighted features in the dataset and then use them to train our model to discover their impact on the accuracy of user credibility detection issues. The research objective is to combine feature selection and weighting methods with Supervised Machine Learning to evaluate their impact on the accuracy of user credibility detection on Twitter. In addition, we measure the effectiveness of different feature categories on this detection. Experiments are conducted on one of the online available datasets. We seek to employ extracted features from a user's profile and statistical and emotional information. Then, the experimental results are compared to discover the effectiveness of the proposed solution. This study focuses on revealing the credibility of Twitter (or X-platform as recently renamed) accounts, which may result in the need for some adjustments to the generalization of Twitter's outputs to other social media accounts such as LinkedIn, Facebook, and others.

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UCred: fusion of machine learning and deep learning methods for user credibility on social media

Cited by 13 publications

References 21 publications

Impact of entrepreneurial orientation and risk sharing on organizational performance influencing role of news media and public opinion

Impact of entrepreneurial orientation and risk sharing on organizational performance influencing role of news media and public opinion

Sentiments Analysis on Twitter Towards Hoax Information on Social Media News

Detecting User Credibility on Twitter using a Hybrid Machine Learning Model of Features’ Selection and Weighting

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