  The increase in active users on social networking sites (SNSs) has also
observed an increase in harmful content on social media sites. Harmful content
is described as an inappropriate activity to harm or deceive an individual or a
group of users. Alongside existing methods to detect misinformation and hate
speech, users still need to be well-informed about the harmfulness of the
content on SNSs. This study proposes a user-interactive system TweetInfo for
mitigating the consumption of harmful content by providing metainformation
about the posts. It focuses on two types of harmful content: hate speech and
misinformation. TweetInfo provides insights into tweets by doing content
analysis. Based on previous research, we have selected a list of
metainformation. We offer the option to filter content based on metainformation
Bot, Hate Speech, Misinformation, Verified Account, Sentiment, Tweet Category,
Language. The proposed user interface allows customising the user's timeline to
mitigate harmful content. This study present the demo version of the propose
user interface of TweetInfo.
