Affective Publics: Sentiment, Technology, and Politics

By Zizi Papacharissi. 2014

1,453 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2900d2e581445f80eb3ecb75b587473e6dcedd08

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

Citations in the corpus

#Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures (2017, background): “Toxic technocultures are related to, but distinct from other issue-based, networked (boyd, 2011) and affective publics (Papacharissi, 2015), as they may coalesce around a particular issue or event, but tactics used within these cultures often rely heavily on implicit or explicit harassment of…”
Intimate Surveillance: Normalizing Parental Monitoring and Mediation of Infants Online (2017, background): “Affect is an important amplifier that can bring communities together and drive political change (Papacharissi, 2014).”
Images that Matter: Online Protests and the Mobilizing Role of Pictures (2018, background): “Social movement scholars also argue that emotions generate moral shocks that become motives for mobilization (Jasper 1998; Papacharissi 2014).”
Extending the Internet meme: Conceptualizing technological mimesis and imitation publics on the TikTok platform (2020, background): “Collectively, this analysis extends our understanding of networked publics (e.g. boyd, 2011; Bruns and Burgess, 2011, 2015; Jenkins et al., 2015; Papacharissi, 2014), contributes to the growing interest in memetics (e.g. Shifman, 2013; Tuters and Hagen, 2020; Wiggins, 2019), and is one of the first…”
Believing and sharing misinformation, fact-checks, and accurate information on social media: The role of anxiety during COVID-19 (2021, background): “, 2017), including for scientific topics (Milkman and Berger, 2014), so new media users may be more likely to see (mis)information that resonates emotionally, facilitating affective and expressive responses (Haidt and Rose-Stockwell, 2019; Papacharissi, 2015).”
The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms (2017, background): “While it might be dif ﬁ cult to escape the digitally constructed categories of identity, affect, as Papacharissi (2014) suggests, may extend beyond ‘ just emotions and feelings to describe driving forces that are suggestive of ten-dencies to act in a variety of ways ’ (p. 12).”
Machine Vision and Social Media Images: Why Hashtags Matter (2020, background): “It is essential here to stress the performative character of users that express themselves through diffuse images: online publics are monitoring others (Mortensen & Trenz, 2016) and aware of being monitored themselves, meaning that practices of engagement hold intentionality (Papacharissi, 2015).”