The Race: Tackling Hate speech and Misinformation Online

False information that is designed specifically to deceive people and hate speech has always been a problem in the virtual world. However, artificial intelligence is being moulded to address this issue thereby increasing the possibility of preserving a brands reputation and also curbing misinformation from reaching the public.

Identifying and Taking Out the Hate Speech:

Facebook and Instagram have outlined their own codes of conduct to ensure the safety of the users. Eliminating hate speech would be impossible but AI would help to identify and remove them easily and quickly.

Because hate speech comes in deceptive forms, for example, in the form of sarcasm, slang or images that could be read and understood differently by people belonging to different cultures, AI has a difficult task at hand. AI was able to detect almost 96.8% of hate speech according to Community Standards Enforcement Report.

AI taking over the detection of hate speech helps to avoid the reviewers from having to view some of the unhealthy comments and also helps to quickly assign the complex human responses that AI finds difficult to crack to human reviewers.

Finding Misinformation

 When AI flags content as misinformation, it is then forwarded to the reviewers who crosscheck the content. If they find it false, the content is given a warning label which would help the viewers to skip the content if they feel so. All content is duplicated by people many times across various sites.

AI is used to detect these duplicates and label them with warning signals as well. According to the research, it is understood that if the contents are given labels warning them to be false, 95% of people tend to skip it.

AI has been able to remove various false contents about Covid-19 and its vaccines on social media platforms like Facebook and Instagram during the pandemic.

AI’s biggest challenges

AI finds it difficult to crack hateful memes and deep fakes. Memes are a combination of images and words which might not necessarily be offensive when read/seen separately but when combined, could be offensive in certain contexts.

Deepfakes are videos or images made by digitally altering the real image to fit another image into it. AI is being trained to understand offensive memes and deepfakes in different contexts.

The wider AI community is set to work together to enhance the ability of AI in facing these challenges and using technology more transparently for a better future.

Enhancing online experience:

AI product management team tries to bring about a healthy conversation pattern into which businesses can safely take part while the users are provided with space for an open conversation. The ultimate goal is to make digital platforms a safe space and AI helps to make it a reality in a much efficient and speedy manner compared to the work done by manpower alone.