A new website tool that searches social media for hashtags, and tracks chat interaction on several live streaming services
When some content is selected on the waterfall display, we have an overlay available that can be used with a video capture device
We have completed an initial minimum viable product and stress tested the application by capturing tweets during the NFL kickoff grame on September 7, 2023 between Kansas City and Detroit using the hashtag #DETvsKC
Data is stored in a combination of Sqlite and Postgres databases. We have configured an extensive provider model so that we can add new social media services in the future.
Live chat integration (TwitchChat, YouTubeChat, etc) captures all messages that are delivered over that service.
We also have a simple moderation capability.
On the moderation screen, you can use the keyboard to navigate the cards on screen:
- arrows to move a cursor between the various messages
- Enter to select a message for moderation
- Y to approve a message
- N to reject a message
- Blazot
- Bluesky
- Mastodon
- Twitter / X
- TwitchChat
- YouTube (search for videos that have a given hashtag in the description)
- Custom message delivery across Azure Queues, labeled as 'Website'
If you do not have the proper Postgres database running locally, you can instead use the default embedded database:
- Remove the Postgres-related connection strings from TagzApp.Blazor\appsettings.Development.json
- Run from the command line:
dotnet watch --project .\src\TagzApp.Blazor\. The site should spin up and open the First Start Configuration page. - Choose Sqlite and submit. After a short delay, The home page should show.
- To get started, navigate to "System Admin" and add a hashtag to watch, then navigate to Waterfall to see the content.