A hybrid Data-Driven framework for Spam detection in Online Social Network

Kumar, Chanchal; Bharti, Taran Singh; Prakash, Shiv

doi:10.1016/j.procs.2022.12.408

Cited by 11 publications

(2 citation statements)

References 13 publications

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“…Researchers have effectively utilized these datasets to propel advancements in spam detection techniques and algorithms. For example, the authors used the NSCLab data lately in [20] . In contrast, there is a noticeable lack of publicly accessible Arabic tweet spam detection data, as indicated in Table 7 .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset of Arabic spam and ham tweets

Kaddoura,

Henno

2024

Data in Brief

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset of Arabic spam and ham tweets

Kaddoura,

Henno

2024

Data in Brief

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“…Ozturkcan et al (2019) used data from the Twitter platform to explore marketing opportunities in sports activities. Kumar et al (2023) developed a hybrid framework based on machine learning algorithms to detect spam on this platform. Kim et al (2020) conducted empirical research by spreading rumors on social media and observing the reactions of firm employees.…”

Section: Literature Reviewmentioning

confidence: 99%

Information security risks and sharing behavior on OSN: the impact of data collection awareness

Pham,

Phan,

Trinh

et al. 2023

JICES

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Purpose This study aims to ascertain the impact of data collecting awareness on perceived information security concerns and information-sharing behavior on social networking sites. Design/methodology/approach Based on communication privacy management theory, the study forecasted the relationship between information-sharing behavior and awareness of data collecting purposes, data collection tactics and perceived security risk using structural equation modeling analysis and one-way ANOVA. The sample size of 521 young social media users in Vietnam, ages 18 to 34, was made up of 26.7% men and 73.3% women. When constructing the questionnaire survey method with lone source respondents, the individual’s unique awareness and experiences with using online social networks (OSNs) were taken into account. Findings The results of the investigation demonstrate a significant relationship between information-sharing and awareness of data collecting, perceptions of information security threats and behavior. Social media users have used OSN privacy settings and paid attention to the sharing restriction because they are concerned about data harvesting. Research limitations/implications This study was conducted among young Vietnamese social media users, reflecting specific characteristics prevalent in the Vietnamese environment, and hence may be invalid in other nations’ circumstances. Practical implications Social media platform providers should improve user connectivity by implementing transparent privacy policies that allow users to choose how their data are used; have clear privacy statements and specific policies governing the use of social media users’ data that respect users’ consent to use their data; and thoroughly communicate how they collect and use user data while promptly detecting any potential vulnerabilities within their systems. Originality/value The authors ascertain that the material presented in this manuscript will not infringe upon any statutory copyright and that the manuscript will not be submitted elsewhere while under Journal of Information, Communication and Ethics in Society review.

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