The choice between affirmative or denying mode depends on how the research question is framed.

The null hypothesis should always be testable and clearly defined.

It is typically paired with an alternative hypothesis (HaH_aHa​) that contradicts H0H_0H0​.

researcher in most cases sets up up null hypothesis with objective to that it will fail after experiment. That is the reason to call it null hypothesis.

The hypothesis is outcome of research questions framed during initial research and then research design. What are data and types and tools to be used. In this context the hypothesis is set up.

Yes I think your proposed hypothesis is valid logic to conclude

I am sorry, but I do not think this is a good null hypothesis. If the answer to the null hypothesis is "no" than the only other answer for the research question is "yes" but research questions should not be yes/no questions.

Depending on what research gap you want to fill, a better research question would be "in that way...?" or "to what extent...?" or just "How does...?"

I don't think that there is any chance that research will show that social media does NOT distribute news. I see news in social media every day.

You could as "To what extent is the news distributed by social media accurate?" or "what are the effects of accurate and inaccurate news on people who see it in social media?" or some other question that is not yes/no.

The choice of affirmative or denying mode is determined by how the research question is stated. The null hypothesis should always be testable and well-defined. It is usually combined with an alternative hypothesis (HaH_aHa) that contradicts H0H_0H0​. In most circumstances, researchers develop a null hypothesis with the expectation that it will fail after the experiment. That is why it is called the null hypothesis. The hypothesis is the result of research questions established during the initial research and then research design. What are the data formats and techniques to be used? In this situation, the hypothesis is formulated. Yes, I believe your provided theory has valid logic to conclude.

The statement “social networks do not disseminate news content” is an appropriate example of a null hypothesis (H0) in the context of the research. The null hypothesis states that there is no significant relationship between two variables, in this case, the use of social networks and the dissemination of news content. This type of hypothesis is used as a basis for statistical tests, where sufficient evidence is sought to reject it in favor of an alternative hypothesis (H1), which could be that “social networks do disseminate news content”. The use of the null hypothesis is fundamental in scientific research, as it allows researchers to evaluate whether the data obtained support or refute the initial assertion. In the realm of social media and its impact on news dissemination, this approach can help determine if there is a significant correlation that warrants further analysis of how and why social media affects the way news information is consumed and shared

How you identify variables and collect data and of which period?

Or you take only for a week of just on a specific day

More than data their reliability and representing event sufficiently is important

Such study is irrelevant since there are too many influencing factors on content creation in a tv social media or print vehicles

It is very difficult to define news. News is too broad an area with hundreds of types of information puring in daily in media offices