Home » Software » Software Products » AI Enabled Fake News Detector
Social media for news consumption is a double-edged sword. Traditional Social media analytics applications existing so far, are considering the raw information (Tweets / posts / news) from various social media platforms such as Twitter, Facebook, Instagram, YouTube, News feeds etc… for performing the behavioural analysis, sentiment analysis.
Fake News is deliberate and intentional misinformation.
It consists of fabricated news stories, with the intent of mislead. Fake news proliferates on social and even reputed social media and is very difficult to control once it is viral. Moreover, advanced analytics such as behavioural analysis, Profile analysis and sentiment analysis based on the fake content turns out more damaging in terms of insights generation.
To utilize the social media content in constructive way, software SBU of BEL Bangalore has developed an AI enabled advanced computational models using Machine Learning, Deep Learning, Natural Language Processing (NLP), to identify fake news / content (text, image and videos) sourced from various social media and alarm user to curtail its spread before the fake content causes irreparable damage to individuals / society.
By means of Fake News and Fake media Detection, the product delivers the following capabilities to meet community expectations:
The solution is useful in Smart cities/ Safe cities/ Law enforcement agencies towards performing Collaborative social media analytics and can help communities make more informed decisions and they will not be fooled into thinking what others want to manipulate them into believing. Further, users can capture real sentiments and behaviours of people and refine future policies / plans accordingly.
Accessibility Tools