A documentary film festival featuring films speaking to Martin Luther King, Jr.'s vision of the World House

For the 2022 King Holiday, the World House Project will host a free, four-day webinar and virtual film festival, from the evening of January 14 through January 17, 2022. This virtual event will feature over 30 documentaries, musical performances, interviews, and panel discussions that speak to Dr. King's vision of the World House. 

The webinar will consist of daily Zoom meetings with the World House Project director Dr. Clayborne Carson who will speak with guests and webinar registrants on a range of topics, from the history of the civil rights movement to the legacy of Martin Luther King, Jr., and the African American freedom struggles.

The films and performances cover a variety of themes, from the history of the civil rights and anti-apartheid movements to James Baldwin and Martin Luther King's global visions. A full list of featured films and short descriptions will be available shortly.

The festival is produced in partnership with the Martin Luther King Jr. Freedom Center, California Newsreel, Clarity Films, the Camera as Witness Program (Stanford Arts), the Office for Religious & Spiritual Life at Stanford, and the Kunhardt Film Foundation.
 

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Join us  Tuesday, December 7th from 12 PM - 1 PM PST for “Media Choices, Niche Behavior, and Biases in Online Information” featuring Sandra González-Bailón, Associate Professor at the Annenberg School for Communication at University of Pennsylvania. This seminar series is organized by the Cyber Policy Center’s Program on Democracy and the Internet and the William and Flora Hewlett Foundation’s Cyber Initiative.  

The quality of our democracies relies on the quality of the information that citizens consume but we still know very little about how citizens engage with the news “in the wild”. In this talk, I will discuss two papers that examine that question in different settings. The first paper analyzes the media choices of a representative panel of the U.S. population (N ~ 55,000) as they consume TV, web, and YouTube content over a period of 44 months. Less than 10% of the panelists (N ~ 5,300) view and browse news on the three platforms. This small group of news hyper-consumers is formed predominantly by older male users with higher education. We find no evidence of substitution effects in the time these users spend consuming news on each of the three platforms, but consuming news across the media landscape is a choice that only a small and unrepresentative slice of the population makes. These results help us characterize the digital equivalent of the ‘opinion leaders’ first proposed to understand the effects of mass media. The hyper-consumers we identify in our analyses create the elite of opinion leaders that have a disproportionate influence in how news content is selected, circulated, and (ultimately) algorithmically amplified. That this small group is far from representing the population at large is one of the ways in which online information may perpetuate important biases in the salience of some topics over others. The second paper analyzes news sharing in social media during one of the largest protest mobilizations in U.S. history to examine ideological asymmetries in the posting of news content. We extract the list of URLs shared during the mobilization period and we characterize those web sites in terms of their audience reach and the ideological composition of that audience. We also analyze the reliability of the sites in terms of the credibility and transparency of the information they publish. We show that there is no evidence of unreliable sources having any prominent visibility during the protest period, but we do identify asymmetries in the ideological slant of the sources shared, with a clear bias towards right-leaning domains. Our results suggest that online networks are contested spaces where the activism of progressive movements coexists with the narratives of mainstream media, which gain visibility under the same stream of information but whose reporting is not necessarily aligned with the activists’ goals.

About the speaker:

Sandra González-Bailón is an Associate Professor at the Annenberg School for Communication, and affiliated faculty at the Warren Center for Network and Data Sciences. Her research lies at the intersection of network science, computational tools, and political communication. She is the author of Decoding the Social World (MIT Press, 2017) and co-editor of The Oxford Handbook of Networked Communication (OUP, 2020). More information on her research can be found at https://sandragonzalezbailon.net/
 
Her articles have appeared in journals like PNAS, Nature, Science, Political Communication, The Journal of Communication, and Social Networks, among others. She is the author of the book Decoding the Social World (MIT Press, 2017) and co-editor of The Oxford Handbook of Networked Communication (OUP, 2020). She serves as Associate Editor for the journals Social Networks, EPJ Data Science, and The International Journal of Press/Politics, and she is a member of the Board of Reviewing Editors for Science. She leads the research group DiMeNet (/daɪmnet/) — acronym for Digital Media, Networks, and Political Communication.

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Join us on November 16th for “Analyzing Social Media From A User-eye View With PIEGraph” from 12 - 1 PM PT featuring Deen Freelon, associate professor at the UNC Hussman School of Journalism and Media at the University of North Carolina. This session will be moderated by Jeff Hancock, founding director of the Stanford Social Media Lab and is organized by the Cyber Policy Center’s Program on Democracy and the Internet and the William and Flora Hewlett Foundation’s Cyber Initiative. 

Quantitative social media research has traditionally been conducted from what might be called a platform-centric view, wherein researchers sample, collect, and analyzed data based on one or more topic- or user-specific keywords. Such studies have yielded many valuable insights, but they convey little about individual users’ tailored social media environments—what Professor Freelon calls the user-eye view. Studies that investigate social media from a user-eye view tend to be rare because of the expense involved and a limited number of suitable tools. This talk introduces PIEGraph, a novel system for user-eye view research that offers key advantages over existing systems. PIEGraph is lightweight, scalable, open-source, OS-independent, and collects data viewable from mobile and desktop interfaces directly from APIs. The system incorporates an extensible tagging taxonomy that allows for straightforward classification of a wide range of political, social, and cultural phenomena. The presentation will focus on how Professor Freelon’s research team is using PIEGraph to examine users’ potential levels of exposure to high- and low-quality information sources across the ideological spectrum.

Speakers:

Deen Freelon is an associate professor at the UNC Hussman School of Journalism and Media at the University of North Carolina and a principal researcher at the Center for Information, Technology, and Public Life (CITAP). His theoretical interests address how ordinary citizens use social media and other digital communication technologies for political purposes, paying particular attention to how identity characteristics (e.g. race, gender, ideology) influence these uses. Methodologically, he is interested in how computational research techniques can be used to answer some of the most fundamental questions of communication science. Freelon has worked at the forefront of political communication and computational social science for over a decade, coauthoring some of the first communication studies to apply computational methods to social media data. 

Jeff Hancock is the founding director of the Stanford Social Media Lab and is Harry and Norman Chandler Professor of Communication at Stanford University. Professor Hancock and his group work on understanding psychological and interpersonal processes in social media. The team specializes in using computational linguistics and experiments to understand how the words we use can reveal psychological and social dynamics, such as deception and trust, emotional dynamics, intimacy and relationships, and social support. Recently Professor Hancock has begun work on understanding the mental models people have about algorithms in social media, as well as working on the ethical issues associated with computational social science.