Annoyed by something you’ve seen on Twitter? You are not alone, and According to a new study from SimpleTexting, At the top of the list of “most toxic apps” micro-blogging platform. About 38.1 percent of respondents said Twitter had the most trolls, compared to 26.9 percent who said trolling on Facebook was a problem, and 14.8 percent on Reddit.
Instead of uniting us, social media is apparently alienating us – so much so that six out of 10 people in the SimpleTexting survey said they were afraid to post about certain topics for fear of negative feedback. A whopping 90 percent of people say they’ve even seen racist posts by people on their network.
In addition, 86 percent said they have seen negative content related to sexual orientation and gender posted by people on their networks. It is also worth noting that 87 percent said they would block or “unfollow” someone if they disliked their social media content, while some 46 percent admitted to interacting negatively with someone online!
Twitter is full of spam
Another study further found that Twitter is not just a toxic problem; This is a serious spam problem. International Analytical Organization GlobalData also published the results of a mathematical model Which estimates that more than 10 percent of active Twitter accounts are posting spam content
“Whether or not spam is suddenly a major topic of discussion for social media platforms, Elon Musk’s bid to take over Twitter is now stuck due to disagreements over the proportion of spam accounts on that platform. Twitter has claimed that spam accounts represent less than 5% of accounts Elon Musk’s team thinks otherwise, “said Siddharth Kumar, a senior data scientist at GlobalData.
“It is difficult to calculate the exact proportion of spam accounts, as it is almost impossible to confirm the identity of the entity behind a tweet handle,” Kumar added. “Additionally, the definition of ‘spam account’ may be different for everyone. Endless tweeting of non-original content may be considered spam, but some may choose to share it with very active user articles / opinions.”
GlobalData’s mathematical model estimates the number of spam accounts using multiple parameters to provide a weighted score, which was then used to determine the classification of “spam” or “non-spam”. GlobalData has decided on these parameters, focusing on the differences in activity between a typical spam account and the average Twitter user.
“There were a few research pieces published earlier in the media looking at followers of certain handles to estimate spam or bot ratios,” Kumar noted. “We felt that the correct approach would be to analyze samples of the live stream, as it further indicates Twitter activity. Our guess is conservative, because we wanted to make sure we were correctly identifying the accounts as spam. It is important to note that this is still a guess.” There is no definitive way to determine if a particular account is a bot or spam. “