Spread of Hoax in Social Media

Situngkir, Hokky

doi:10.2139/ssrn.1831202

Cited by 16 publications

(10 citation statements)

References 6 publications

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“…Social media made a major impact to the spreading of hoax in Indonesia. Social media helped create a "collective reality" in which the voice of the majority always treated as reality [3]. This "collective reality" also supported by the fact that most Indonesians are very active on social media.…”

Section: Introductionmentioning

confidence: 92%

Effectiveness of Probabilistic Image Sampling Techniques to Identify Hoax-related Images in Indonesia

2020

IJITEE

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 Abstract: Hoaxes are very common among Indonesians. The tendency of most Indonesians to believe everything they saw or heard and the rapid spread of information with questionable credibility in social media contribute to the quick growth of hoaxes. These hoaxes varies from the 'light' hoaxes such as April Fools pranks which are taken seriously to some 'heavier' ones such as political hoaxes. Fortunately, there are a lot of websites offering hoax identification services. But, most Indonesians would rather holding on the term 'no picture means hoax' than checking any kinds of information they received on those websites. As image editing software progressed forward, this old term is not really helpful. Forged images are easily made and spread through social media, and only few Indonesians know how to distinguish between real images and forged images. This research will focus on comparing the probabilistic image sampling techniques in order to combat hoaxes spreading through social media. Before being identified, several images (both forged and real) alongside some opinion-based questions regarding hoax-related imagery will be presented in a form of a survey to 167 respondents, in which most of respondents failed to identify the forged images. The success of the probabilistic image sampling technique will be based on the detection test score of each sampling techniques and their suitability with current situation in Indonesia.

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Section: Introductionmentioning

confidence: 92%

Effectiveness of Probabilistic Image Sampling Techniques to Identify Hoax-related Images in Indonesia

2020

IJITEE

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“…Situngkir [28] empirically studies an Indonesian hoax on Twitter, finding that it spread broadly and quickly (within two hours), and that it would have spread more if a conventional media outlet did not publicly deny it. He also argues that hoaxes can propagate easily if there is collaboration between the recipients of the hoax.…”

Section: Related Workmentioning

confidence: 99%

The web centipede

Zannettou

Caulfield

Cristofaro

et al. 2017

Proceedings of the 2017 Internet Measurement Conference

122

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As the number and the diversity of news outlets on the Web grow, so does the opportunity for "alternative" sources of information to emerge. Using large social networks like Twitter and Facebook, misleading, false, or agenda-driven information can quickly and seamlessly spread online, deceiving people or influencing their opinions. Also, the increased engagement of tightly knit communities, such as Reddit and 4chan, further compounds the problem, as their users initiate and propagate alternative information, not only within their own communities, but also to different ones as well as various social media. In fact, these platforms have become an important piece of the modern information ecosystem, which, thus far, has not been studied as a whole. In this paper, we begin to fill this gap by studying mainstream and alternative news shared on Twitter, Reddit, and 4chan. By analyzing millions of posts around several axes, we measure how mainstream and alternative news flows between these platforms. Our results indicate that alt-right communities within 4chan and Reddit can have a surprising level of influence on Twitter, providing evidence that "fringe" communities often succeed in spreading alternative news to mainstream social networks and the greater Web.

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“…As they do that, actually they are making connection one another [cf. 4,20]. There can be drawn graph of engagement among twitter accounts based on their behavior in the social media.…”

Section: Review Of Some Implementationsmentioning

confidence: 99%

Indonesia Embraces the Data Science

Situngkir¹

2015

SSRN Journal

Self Cite

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The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data. Data can be in the forms of signals, images, texts, or manifolds resembling the horizon of observation. The task of the emerging data sciences are to extract information from the data, for people gain new insights of the complex world. The insights may came from the new way of the data representation (function of R(x) over data x), be it a visualizations, mapping, or other. The insights may also come from the implementation of mathematical analysis and/or computational processing (function A(x) over data x) giving new insights of what the states of the nature represented by the data. Both ways implement the methodologies reducing the dimensionality of the data. The relations between the two functions, R(x) and A(x) are the heart of how information in data is transformed mathematically and computationally into new information. The paper discusses some practices, along with various data coming from the social life in Indonesia becoming the variables within R(x) and A(x) to gain new insights about Indonesia in the emerging data sciences. The data sciences in Indonesia has made Indonesian Data Cartograms, Indonesian Celebrity Sentiment Mapping, Ethno-Clustering Maps, social media community detection, and a lot more to come, become possible. All of these are depicted as the exemplifications on how "data science" has become integral part of the technology bringing data closer to people.

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Spread of Hoax in Social Media

Cited by 16 publications

References 6 publications

Effectiveness of Probabilistic Image Sampling Techniques to Identify Hoax-related Images in Indonesia

Effectiveness of Probabilistic Image Sampling Techniques to Identify Hoax-related Images in Indonesia

The web centipede

Indonesia Embraces the Data Science

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