BOTS OR MEDICAL ADVICES ON SOCIAL MEDIA,FACEBOOK / TWITTER MAY ENDANGER LIFE
Prof Dr,DRAM,HIV /AIDS,HEPATITIS ,SEX DISEASES & WEAKNESS expert,New Delhi,India, +917838059592
Social bots are automated accounts that use Artificial Intelligence (AI) to influence discussions and promote specific ideas or products. The researchers focused on how these bots promoted the notion that using electronic cigarettes, or e-cigarettes, helps people stop smoking, a conclusion not definitively supported by research."Social bots can pass on health advice that hasn't been scientifically proven," said lead author of the study Jon-Patrick Allem from Keck School of Medicine of University of Southern California.
Prof Dr,DRAM,HIV /AIDS,HEPATITIS ,SEX DISEASES & WEAKNESS expert,New Delhi,India, +917838059592
If we see social media sites like Facebook,Twitter ,You tube etc we get so many advices to use different food materials or biochemical products or drugs used in different pathies to cure many diseases or to invstigate a disease proces but actually they donot give that good result and some time cause many side effects or complications which may endanger our life too as many of such Bots or Advices are based on personal experience or reading but not obased on well conducted scientific study.
Social bots are automated accounts that use Artificial Intelligence (AI) to influence discussions and promote specific ideas or products. The researchers focused on how these bots promoted the notion that using electronic cigarettes, or e-cigarettes, helps people stop smoking, a conclusion not definitively supported by research."Social bots can pass on health advice that hasn't been scientifically proven," said lead author of the study Jon-Patrick Allem from Keck School of Medicine of University of Southern California.
"The jury is still out on if e-cigarettes are useful smoking cessation tools, but studies have shown that the chemicals in vape juice are harmful," Allem said.For the study, published in the Journal of Medical Internet Research Public Health and Surveillance, the researchers analysed about 2.2 million e-cigarette-related posts on Twitter.
To compile their data, researchers crawled Twitter to pull out tweets that used key terms such as e-cigarette, vaping and ejuice. They identified human users from social bots by analysing retweets or mentions, ratio of followers to followees, content and level of emotion. Then they used a "BotOrNot" algorithm as the final filter.
The researchers found that social bots were two times more likely than humans to promote both new products and the idea that e-cigarettes empower people to quit smoking.The study is one of the first to document bots influencing unhealthy behaviour, Allem said.
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