The rise of fake news, social media platforms and viral videos have made the world of politics, education and entertainment more connected than ever before.
Nowhere is this more evident than in the election.
The social media giants have all been scrambling to catch up with the rapid spread of misinformation in the US, with social media analytics firm The Trending Data Report forecasting that fake news could cost Hillary Clinton the election, and that fake media stories will be the dominant narrative of the next year.
But the threat of fake-news has also played out in the social media landscape itself, with a number of popular social media networks now taking the lead in identifying and removing fake news.
The social media companies are now in the business of finding and policing fake news and removing it.
The Trending data report is a research project that identifies and identifies fake news on Facebook, Twitter and Instagram, as well as the social networks that have implemented a number, or all, of the following:Social media analytics company The Trended Data Report (TDI) is forecasting that the election could cost Clinton the presidential election.
It has identified and removed a number or all of the social network platforms that have adopted the social news sharing platform in the last year.
Facebook is the most important platform in terms of the number of fake stories that are posted each day, and has more than 100 million daily users.
However, the social networking giant has only been able to identify about a third of the content that is being shared on Facebook that is fake.
The data indicates that, in the past two months, Facebook has been unable to identify or remove the content in excess of 50 per cent of the time.
The biggest challenge in identifying fake news is not having enough data, according to TDI co-founder and managing director Matt McPhee.
“We know that people tend to click on the fake news,” he said.
“But how much do we know about the people who click on fake news?”TDI’s goal is to provide users with an insight into what content is being posted, in real-time, and to create a comprehensive index of fake content.
McPhee said the platform’s data also helps users identify which stories are popular, and where fake content is found.
“For example, we’re finding a lot of fake posts from social media, where people are not looking for it but are just looking for their favourite content,” McPee said.
He said this led to a situation where users were not really engaging with the content.
“If they’re just clicking away from a video or a post, we don’t have any way of actually tracking them.
We can’t see if the content is engaging, but we can see what they’re clicking on,” he explained.”
So what we want to do is try to find out if there’s a reason that people click on these stories or not.”
McPee explained that the platforms have also been using social media data to find the most influential content.
The data shows that people on Facebook and Twitter are more likely to be interested in news stories that have been shared by a particular person, such as the president of the United States, than other news stories.TDI found that on average, people share more than 40 per cent more of the top news stories on Facebook every day than people who do not share the news.
This may not seem like a lot, but the Trending report found that people shared more news stories than they did in the previous month.
The research showed that the number and quality of the stories that people were sharing on social media has been directly linked to their likelihood of sharing fake content, with the average news story shared on social networks sharing about 30 per cent less content than the average story shared by people who don’t share the content on social platforms.
McPhane said the Trended data also showed that news stories shared on Twitter were shared more frequently than news stories about political topics.
Mcphane said these trends were largely linked to the rise of Facebook.
“On Twitter, we saw the share on average increase, and on Facebook it increased from about 1.5 per cent per day to more than 3 per cent, so there’s an increase in the frequency of the sharing,” he noted.
“Facebook, in fact, appears to be doing a good job of identifying which news stories are being shared, and in fact it is also doing a great job of removing those stories from the social platform.”
In addition, McPhane added that it appears that Facebook is not doing a particularly good job identifying and reporting fake news stories as they are being generated.
“There’s a lot that we don: a lot less that we know,” he observed.
“When people are engaging with news, they’re likely to click a button or a share on Facebook or Twitter.
And then that could be the same story being shared to a large audience on Facebook.”
McPhance said he had heard similar complaints about the