AI in Social Media Research Paper

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There is a need for AI to help companies better utilize social media platforms. Social media platforms have embedded analytical features, like content recommendation, that allow marketers to better target specific audiences. Furthermore, custom software solutions can augment market analyses. AI in social media marketing does not just involve data analytics, but also includes automation of tasks and customer assistance.

AI should be used responsibly and ethically to ensure that users’ data remains safe and sensitive. There should be no discrimination, timesweb retaliation, or targeting. These principles would guide the design of social media applications. The ethical concerns related to AI use should be thoroughly scrutinized so that they do not lead to privacy invasions and facilitate responsible social media operations. This paper will explore these issues. Further, it will provide insight into the current state of AI in social media.

The use of AI in social media platforms is becoming increasingly common. Social media platforms have equipped themselves with AI-powered systems that help monitor content, including comments and posts. They can also detect content, such as spam, hate speech, or cyberbullying. These technologies can also detect fake accounts based on their behavioral patterns. Facebook’s Deep Entity Classification algorithm was able to eliminate nearly 1.7 billion fake accounts by the year 2021.

One of the benefits of AI in social media is the ability to recognize spam messages and emails. A neural network can learn from experience and create new filters automatically. For example, Google uses ML algorithms called TensorFlow to limit spam. The algorithms are based on the Baye’s theorem, which involves using maximum probability to identify spam. In testing, they found that AI in social media helped the company identify more than 80% of spam messages.

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