Fake News Identification on Social Media

Khan, None Moin; Jain, Amisha; Chouhan, Rishi; Sheikh, Sakeeb .H.

doi:10.17577/ijertv9is010183

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…If the meaning related to the product on which comment was made then it was ok, otherwise it was labelled as fake. [2] The Problem was that it could only detect fake reviews when the meaning of the review is completely different from the product. So at times this system was inefficient in detecting fake reviews and thus it was proved to be not completely reliable.…”

Section: Related Workmentioning

confidence: 99%

Fake Comment Detection of Products

Manoranjitham*,

Ankit

2020

IJITEE

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Millions of people all over the world use various kind of websites all over the world, be it Facebook, Twitter or the different shopping websites. They have impacted our life in a great way and specifically the shopping websites have made our life so much easier. To buy different products we don’t need to go anywhere. We can just sit at home and access these websites and order any item that we want to buy and it will be delivered at our home. Now one thing that all of us do before buying any product online is that we see the reviews of that product to know if the product is actually good or not. People used to do it long before the internet was even accessible. Then they used to take reviews directly from other people. This has been going on for a long time. Nowadays people browse thousands reviews available online before finally buying any product and they buy the product only if most of the reviews about the product are positive. It has happened with all of us that we want to buy a product but when we see that it has got many negative reviews , then we do not buy that particular product. Now the sellers know about this mind set of the people and they tend to play with it. What they do is that they hire people for writing fake reviews. These fake reviews can be of two types: 1) Good reviews using which their own product can be sold in big quantity. 2) Bad review so that they can defame some other product which is giving them competition. Many companies hire people so that they can write fake reviews and pay them good amount of money. Fake reviews weather a positive one or a negative one is bad and should not be entertained as it misleads the customer and it may also cause loss to the sellers. So we would like to know about these fake reviews and the people who write them so that we can protect people as well as the sellers from any kind of financial losses.

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Section: Related Workmentioning

confidence: 99%

Fake Comment Detection of Products

Manoranjitham*,

Ankit

2020

IJITEE

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Truth Detection Algorithm in Social Media Tweets Using Similarity Measures

Gupta

Vadivu

2022

Data Intelligence and Cognitive Informatics

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Disinformation in Times of Disaster and Crisis

Dalaylı

2024

Afet Ve Risk Dergisi

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This research is based on 3 consecutive disaster (pandemic, earthquake and flood) in Turkey. During these successive disasters, it has been observed that the traditional and social media handling of similar news has changed. The political stance, in particular, affects the way the news is reflected, causing the elements of disinformation to increase and the target audience to be affected by the views of the news encoder. Although the political stance displayed by the traditional media tools is clear, the political views and goals are not always clear because the news flow in the new media is carried out in the context of personal accounts. Within the scope of the research, 3 examples were selected for each disaster shared by the Turkish people on Twitter, one of the social media tools, during 3 disasters. Similar news in the traditional media was also examined and a comparison was made between the two media channels. The semiotic method was used in the study. The semiotic method was used in the study. One of the possible results of this study is the finding that disinformation elements change according to the way the news is presented in social media and traditional media. On the other hand, despite the fact that the news in social media is produced by people, it has been noticed that sometimes these news are more accurate than traditional media and that the disinformation desired to be created in the traditional media is tried to be prevented.

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Fake News Identification on Social Media

Cited by 3 publications

References 1 publication

Fake Comment Detection of Products

Fake Comment Detection of Products

Truth Detection Algorithm in Social Media Tweets Using Similarity Measures

Disinformation in Times of Disaster and Crisis

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