Does the wisdom of the crowd help solve social media trust issues? – Texasnewstoday.com

The study found that in a group of eight laymen, there was no statistically significant difference between crowd performance and a particular fact checker. When the group reached up to 22 people, it actually started to outpace the fact checkers significantly. (These numbers represent the results when the layman was informed of the source of the article. If he didnt know the source, the crowd would be slightly worse.) Perhaps most importantly, as the laymans crowd Its the most dramatic surpass of fact checkers in categorized stories. It is political. Because these stories are where fact checkers are most likely to disagree with each other. Political fact checking is really difficult.

It may seem impossible for a random group of people to go beyond the work of a trained fact checker, especially just by knowing the headlines, the first sentence, and the publication. But that is the overall idea behind the wisdom of the crowd. If you gather enough people and act independently, their results will beat the experts.

Our sense of whats happening is that people read this and ask themselves,How well does this match everything else I know? Land said. Here comes the wisdom of the crowd. Not everyone needs to know whats going on. By averaging the ratings, the noise is offset and the signal has a much higher resolution than the individual. can be obtained.

This is not the same as the Reddit-style positive and negative voting system. Its also not a citizen editors Wikipedia model. In such cases, a small, non-representative subset of users can self-select to curate the material and each can see what the other person is doing. The wisdom of the crowd is only realized when the groups are diverse and the individuals make independent decisions. And relying on a randomly gathered, politically balanced group rather than a corps of volunteers makes it much harder to game a researchers approach. (It also explains why the experimental approach is different from Twitters Birdwatch. Its a pilot program that writes notes to users explaining why a particular tweet is misleading.)

The main conclusion of this treatise is straightforward. Social media platforms such as Facebook and Twitter can use cloud-based systems to dramatically and inexpensively scale up fact-checking operations without sacrificing accuracy. (The surveys general public is paid $ 9 per hour, which is equivalent to a cost of about $ 90 per article.) The cloud sourcing approach is easy to assemble and increases confidence in the process. Researchers claim that it is also useful. A group of amateurs who are politically balanced and difficult to blame for partisan prejudice. (Republicans overwhelmingly believe that fact checkers tend to favor one, according to a 2019 Pew survey.) Facebook has already debuted something similar and most obvious to a group of users. Work as a researcher or support other claims to find information that may conflict with online hoaxes. But that effort does not reinforce the work of official fact-checking partners, but informs them. The purpose is to do.

Scaled up fact checking is one thing. A much more interesting question is how the platform should use it. Should stories labeled false be banned? What about a misleading or operational story that may not contain objectively incorrect information?

Researchers argue that the platform should stay away from true / false binaries and either leave them alone or flag them. Instead, the platform proposes to incorporate continuous crowdsourcing accuracy assessment into the ranking algorithm. Instead of having a single true / false cutoff, treating everything above it one way, and everything below it another way, the platform makes certain links stand out in the user feed. The crowd-assigned scores should be proportionately incorporated when deciding whether to be displayed. In other words, the more the crowd decides the story is inaccurate, the lower the rank of the algorithm.

Does the wisdom of the crowd help solve social media trust issues?

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Does the wisdom of the crowd help solve social media trust issues? - Texasnewstoday.com