For example, you can hopefully recognize when someone is intentionally posting something bad or offensive (like the bad cooking videos we mentioned in the Virality chapter, or an intentionally offensive statement) in an attempt to get people to respond and spread their content. Then you can decide how you want to engage (if at all) given how they are trying to spread their content. { requestKernel: true, binderOptions: { repo: "binder-examples/jupyter-stacks-datascience", ref: "master", }, codeMirrorConfig: { theme: "abcdef", mode: "python" }, kernelOptions: { kernelName: "python3", path: "./ch21_conclusions\03_going_forward" }, predefinedOutput: true } kernelName = 'python3'
User intentionally posting offensive or misleading content is gaining more popularity nowadays. Especially on Facebook and Tiktok, it seems that a group or community may create a joke about a person, incident, or fact and tell people to spread it around comments and other content forms. Sadly, a lot of other users fall into this trap and believe this information.