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Social media activism is often valued for its role in mobilizing physical protests, effecting social change, and raising awareness. We propose that networked care is another valuable aspect of online social movements, and that definitions of connective action should be expanded to include it. In addition, we show that when activism occurs in a response to a social crisis, it follows a temporal framework which aligns with existing social crisis schemata. This is explored through analyzing #ShutdownStories movement that sprang up on Twitter in response to the 2018–2019 government shutdown. We take a multi-methods approach, combining text mining approaches with manual content analysis, and using established social support frameworks to show how networked care manifests within digital activism. Through this we broaden and diversify what is considered political action worthy of study within the field of communication.

Scholars and observers attribute many democratic benefits to local news media. This paper examines exposure to local and national news media websites, side-by-side in one model, testing their overtime effects on political participation, knowledge, and affective and attitude polarization. We test whether traditionally disengaged or disadvantaged groups (i.e., racial minorities, those with low education levels, politically disinterested, and those who do not consume national news), may particularly benefit from local news consumption. To this end, we combine three-wave panel surveys (final N = 740) with 9 months worth of web browsing data submitted by the same participants (36 million visits). We identify exposure to local and national news sites using an extensive list of news domains. The results offer a robust pattern of null findings. Actual online exposure to local news has no over-time effects on the tested outcomes. Also, exposure to local news sites does not exert especially strong effects among the tested sub-groups. We attribute these results to the fact that news visits account for a small fraction of citizens' online activities, less than 2% in our trace data. Our project suggests the need to evaluate the effects of local news consumption on the individual level.

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