“A cadre of technologists, academics and media experts are thinking up solutions, from hiring human editors, to crowdsourcing or creating algorithms”

Source: the Guardian

Social media and search algorithms have implemented various technology enhancements to address the issue of fake news. Here are some of the modern technology enhancements:

1. Machine learning algorithms: Social media platforms and search engines use machine learning algorithms to detect fake news by analyzing the content, context, and other relevant information. These algorithms can identify patterns and anomalies that may indicate the presence of fake news.
2. Fact-checking tools: Fact-checking tools are used to verify the authenticity of news articles and stories. These tools help to identify false information by cross-checking the facts with credible sources.
3. Flagging and reporting systems: Social media platforms and search engines have flagging and reporting systems that allow users to report fake news. Once flagged, the content is reviewed by a team of human moderators who determine its accuracy.
4. Collaborations with fact-checking organizations: Social media platforms and search engines collaborate with fact-checking organizations to identify and flag fake news. These organizations help to verify the authenticity of news stories and provide accurate information to users.
5. Source verification tools: Social media platforms and search engines use source verification tools to verify the authenticity of the sources of news stories. These tools help to ensure that the news stories are coming from credible sources.

Overall, these technology enhancements have helped to curb the spread of fake news on social media and search engines. However, it is still important for users to be vigilant and to verify the authenticity of news stories before sharing them.