Online coders, open codebooks
New opportunities for content analysis of political communication
Bibliographic Data
| ID | 6341985 |
|---|---|
| Authors | Nicholas J G Winter (0000-0002-9121-4746, University of Virginia, corresponding author), Adam G Hughes (Pew Research Center), Lynn M Sanders (University of Virginia) |
| Year | 2020 |
| Volume | 8 |
| Issue | 4 |
| Pages | 731-746 |
| Publication date | 2020-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Political Science Research and Methods (JOURNAL) |
| Journal identifiers | ISSN: 2049-8470 • E-ISSN: 2049-8489 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/psrm.2019.4 |
| OpenAlex | W2922750227 |
| Language | EN |
| Citations received | 3 |
| References cited | 39 |
Analyzing audiovisual communication is challenging because its content is highly symbolic and less rule-governed than verbal material. But audiovisual messages are important to understand: they amplify, enrich, and complicate the meaning of textual information. We describe a fully-reproducible approach to analyzing video content using minimally—but systematically—trained online workers. By aggregating the work of multiple coders, we achieve reliability, validity, and costs that equal those of traditional, intensively trained research assistants, with much greater speed, transparency, and replicability. We argue that measurement strategies relying on the “wisdom of the crowd” provide unique advantages for researchers analyzing complex and intricate audiovisual political content
Computer security · Content (measure theory · Content analysis · Data science · Meaning (existential · Multimedia · Political science · Politics · Reliability (semiconductor · Social science · Sociology · Transparency (behavior · Computational and Text Analysis Methods · Computer Science · Hate Speech and Cyberbullying Detection · Mathematics · Media Influence and Politics · Psychology
Nonverbal Behavior and Leadership
Visual Persuasion
Reliability and Validity Assessment
In Defense of Negativity
What some concepts might not be
The Visual Image and the Political Image
Rethinking validity and reliability in content analysis
Campaigning for Hearts and Minds
Philosophical Investigations
Culture, Society and the Media
Political Communication Faces the 21st Century
Estimating the Reliability, Systematic Error and Random Error of Interval Data
A Coefficient of Agreement for Nominal Scales
Messages and meanings
The Role of Images in Framing News Stories
The Race Card
Extracting Latent Moral Information from Text Narratives
Content Analysis by the Crowd
"Common Names and "Family Resemblances
Women, Fire, and Dangerous Things
The laws of emotion
Image Bite Politics
Television news without pictures
Daisy Petals and Mushroom Clouds
Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis
When Gender and Party Collide
In a Different Voice? Explaining the Use of Men and Women as Voice-Over Announcers in Political Advertising
Presidential prototypes
Text as Data
Treating Words as Data with Error
The Image and the Vote
Sociotropic Politics
Crowd-sourced Text Analysis
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |