Profile Similarity Communication Matching Approaches for Detection of Duplicate Profiles in Online Social Network

Revathi, S.; Suriakala, M.

doi:10.1109/csitss.2018.8768751

Cited by 7 publications

(1 citation statement)

References 13 publications

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“…In addition to these issues, there is also the challenge of manipulating people via social media [13,14,15]. Because of the phony accounts, incorrect and unsuitable information is disseminated, which results in friction.…”

Section: Introductionmentioning

confidence: 99%

TSMFPMSM: Design of a Temporal Sentiment analysis Model for identification of Fake Profiles from Multimodal Social Media interfaces

BHRUGUMALLA¹,

Mohanty²

2023

Preprint

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The growing number of fake profiles on social media has made it necessary to develop intelligent models for identifying and removing them. This study proposes a novel approach for identifying fake profiles using temporal sentiment analysis. The model collects large datasets from various social media platforms, which are then processed using an ensemble sentiment analysis engine. This produces temporal sentiment patterns, which are used to train a 1D Convolutional Neural Network (1D CNN) for the efficient identification of fake profiles. The model is based on the theory that the data communicated by fake users always converges, and was observed to improve fake-profile detection accuracy by 5.9% with higher precision and recall compared to standard methods. This proposed model can be applied to multimodal social media interfaces.

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Section: Introductionmentioning

confidence: 99%