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Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis
8 references·16 citing·42 second hop
Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis (2014)Teaching the Computer to Code Frames in N…Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Thematic content analysis using supervised machine learning: An empirical evaluation using German online news (2011)Thematic content analysis usi…Computational Social Science (2009)Computational Social ScienceComputer-Assisted Topic Classification for Mixed-Methods Social Science Research (2008)Computer-Assisted Topic Class…Extracting Policy Positions from Political Texts Using Words as Data (2003)Extracting Policy Positions f…Framing: Toward Clarification of a Fractured Paradigm (1993)Framing: Toward Clarification…Common Knowledge (1992)Common KnowledgeContent Analysis: An Introduction to its Methodology. (1984)Content Analysis: An Introduc…Topic modeling for frame analysis: A study of media debates on climate change in India and USA (2021)Topic modeling for frame anal…Visualizing the triple bottom line: A large‐scale automated visual content analysis of European corporations' website and social media images (2020)Visualizing the triple bottom…Hybrid Content Analysis: Toward a Strategy for the Theory-driven, Computer-assisted Classification of Large Text Corpora (2020)Hybrid Content Analysis: Towa…Computational Identification of Media Frames: Strengths, Weaknesses, and Opportunities (2020)Computational Identification …Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models (2020)Automated Visual Content Anal…(What) Can Journalism Studies Learn from Supervised Machine Learning? (2020)(What) Can Journalism Studies…Using Supervised Machine Learning in Automated Content Analysis: An Example Using Relational Uncertainty (2019)Using Supervised Machine Lear…Boilerplate in International Trade Agreements (2019)Boilerplate in International …Scaling up Content Analysis (2018)Scaling up Content AnalysisTowards A Typology of Conflict Frames (2017)Towards A Typology of Conflic…Content Analysis by the Crowd: Assessing the Usability of Crowdsourcing for Coding Latent Constructs (2017)Content Analysis by the Crowd…Comparing Disaster News on Twitter and Television: an Intermedia Agenda Setting Perspective (2017)Comparing Disaster News on Tw…Behavioral Effects of Framing on Social Media Users: How Conflict, Economic, Human Interest, and Morality Frames Drive News Sharing (2017)Behavioral Effects of Framing…Social media research: The application of supervised machine learning in organizational communication research. (2016)Social media research: The ap…From Newsworthiness to Shareworthiness (2016)From Newsworthiness to Sharew…Automated content analysis and crisis communication research (2016)Automated content analysis an…Content Analysis for the Social Sciences and Humanities. (1970)Answering the Call for a Standard Reliability Measure for Coding Data (2007)Social media and political communication: a social media analytics framework (2012)The Value of Big Data in Digital Media Research (2013)Word Counts and Topic Models (2015)The Agenda-Setting Function of Mass Media (1972)Choices, values, and frames. (1984)Is Anyone Responsible? (1991)Framing as a Theory of Media Effects (1999)Framing Theory (2007)Choices, Values, and Frames (2013)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Assessing agreement on classification tasks: the kappa statistic (1996)Comparative Studies of Policy Dynamics (2011)Measuring Ideological Proportions in Political Speeches (2013)Predicting and explaining corruption across countries: A machine learning approach (2019)The Content Analysis Guidebook (2017)Content Analysis: An Introduction to Its Methodology (2019)stm : An R Package for Structural Topic Models (2019)Text as Data (2019)Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study (2008)A 61-million-person experiment in social influence and political mobilization (2012)Private traits and attributes are predictable from digital records of human behavior (2013)The Constitution of Society. Outline of the Theory of Structuration (1984)The clash of civilizations and the remaking of world order (1997)“Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content (2019)Too good to be true, too good not to share: the social utility of fake news (2019)Modernity and Self-Identity: Self and Society in the Late Modern Age (2020)Framing European politics: A Content Analysis of Press and Television News (2000)Designing and Conducting Mixed Methods Research (2007)What Makes Online Content Viral? (2011)An ideological asymmetry in the diffusion of moralized content on social media among political leaders. (2018)Do tabloids poison the well of social media? Explaining democratically dysfunctional news sharing (2018)The Paradox of Participation Versus Misinformation: Social Media, Political Engagement, and the Spread of Misinformation (2019)West European Politics in the Age of Globalization (2008)Structural Topic Models for Open‐Ended Survey Responses (2014)Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness (2003)Three Approaches to Qualitative Content Analysis (2005)The qualitative content analysis process (2008)The Political Relevance of Political Trust (1998)The Impact of Public Opinion on Public Policy: A Review and an Agenda (2003)A New Era of Minimal Effects? The Changing Foundations of Political Communication (2008)
this work references cited by second hop

References

  • 1984Content Analysis: An Introduction to its Methodology.24,312 cited
  • 1993Framing: Toward Clarification of a Fractured Paradigm16,168 cited
  • 2009Computational Social Science3,359 cited
  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2003Extracting Policy Positions from Political Texts Using Words as Data1,377 cited
  • 1992Common Knowledge828 cited
  • 2008Computer-Assisted Topic Classification for Mixed-Methods Social Science Research138 cited
  • 2011Thematic content analysis using supervised machine learning: An empirical evaluation using German online news109 cited

Cited by

  • 2016From Newsworthiness to Shareworthiness319 cited
  • 2017Behavioral Effects of Framing on Social Media Users: How Conflict, Economic, Human Interest, and Morality Frames Drive News Sharing273 cited
  • 2017Comparing Disaster News on Twitter and Television: an Intermedia Agenda Setting Perspective105 cited
  • 2017Towards A Typology of Conflict Frames90 cited
  • 2020Computational Identification of Media Frames: Strengths, Weaknesses, and Opportunities86 cited
  • 2016Automated content analysis and crisis communication research85 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2021
Topic modeling for frame analysis: A study of media debates on climate change in India and USA
70 cited
  • 2018Scaling up Content Analysis64 cited
  • 2017Content Analysis by the Crowd: Assessing the Usability of Crowdsourcing for Coding Latent Constructs57 cited
  • 2020Visualizing the triple bottom line: A large‐scale automated visual content analysis of European corporations' website and social media images52 cited
  • 2016Social media research: The application of supervised machine learning in organizational communication research.47 cited
  • 2020Hybrid Content Analysis: Toward a Strategy for the Theory-driven, Computer-assisted Classification of Large Text Corpora46 cited
  • 2020Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models43 cited
  • 2019Boilerplate in International Trade Agreements43 cited
  • 2019Using Supervised Machine Learning in Automated Content Analysis: An Example Using Relational Uncertainty35 cited
  • 2020(What) Can Journalism Studies Learn from Supervised Machine Learning?34 cited