NetSpam : A Network-Based Spam Detection Framework for Reviews in Online Social Media.

The system ensures about irrelevant or promotional comments on blogs, forums, or social media. In today’s digital age, online reviews play a crucial role in shaping consumer decisions and business reputations. However, the open nature of these platforms also provides opportunities for malicious actors to post spam reviews, misleading users and undermining the credibility of genuine feedback. Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-10-23
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.29252
Citations
1
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

NetSpam : A Network-Based Spam Detection Framework for Reviews in Online Social Media.

Shivanand S. Rumma, Sweta Sweta, Sunanda Sunanda, Subiya Noorain -
1 citations
International Journal For Multidisciplinary Research
Spam and Phishing Detection
article

NetSpam : A Network-Based Spam Detection Framework for Reviews in Online Social Media.

Shivanand S. Rumma, Sweta Sweta, Sunanda Sunanda, Subiya Noorain -
article en
1 citations

Abstract

The system ensures about irrelevant or promotional comments on blogs, forums, or social media. In today’s digital age, online reviews play a crucial role in shaping consumer decisions and business reputations. However, the open nature of these platforms also provides opportunities for malicious actors to post spam reviews, misleading users and undermining the credibility of genuine feedback. Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area.

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Openalex Percentile: Top 71%
Spam and Phishing Detection
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