Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation (2021.acl-long)
Copied to clipboard
| Challenge: | Edited media frames are structured annotations with respect to intents, emotional reactions, attacks on individuals, and the implications of disinformation. |
| Approach: | They propose a new formalism to understand visual media manipulation as structured annotations with respect to intents, emotional reactions, attacks on individuals, and the implications of disinformation. |
| Outcome: | The proposed model obtains promising results on a dataset with 56k question-answer pairs written in rich natural language. |
Similar Papers
Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns (2024.acl-srw)
Copied to clipboard
| Challenge: | Existing methods for multilingual framing differ from those used in English-speaking world . framers often use loaded vocabularies to create political images or favor a particular point of view . |
| Approach: | They use eight years of Russian-backed disinformation campaigns to examine framing . they find that disinformation campaign consistently favors specific framers . |
| Outcome: | The proposed method underperforms and shows high disagreements in Russian-language articles . the proposed method is based on eight years of Russian-backed disinformation campaigns . |
Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines (2022.acl-long)
Copied to clipboard
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi
| Challenge: | Empirical results confirm that it is indeed possible for neural models to predict the prominent patterns of readers’ reactions to previously unseen news headlines. |
| Approach: | They propose a pragmatic formalism for modeling how readers might react to a news headline . they propose 'misinfo' frames, which can be used to model reader perceptions of news reliability . |
| Outcome: | The proposed model can predict readers' reactions to previously unseen headlines. |
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation (2024.emnlp-main)
Copied to clipboard
| Challenge: | Using a unique methodology, we annotated disinformation in Polish with multiple labels indicating both intents and manipulation techniques employed. |
| Approach: | They present a novel corpus of 15,356 Polish web articles annotated with multiple labels indicating both disinformation creators’ intents and manipulation techniques employed. |
| Outcome: | The proposed dataset sheds light on the authors' intention and manipulation techniques in disinformation. |
Multi-Modal Framing Analysis of News (2025.emnlp-main)
Copied to clipboard
| Challenge: | Automated frame analysis of political communication has been limited by the use of predefined frames and the visual contexts in which they appear. |
| Approach: | They propose a method for doing multi-modal, multi-label framing analysis at scale using large (vision-) language models. |
| Outcome: | The proposed method provides a more complete picture for understanding media bias. |
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames (2021.naacl-main)
Copied to clipboard
| Challenge: | Existing models for news analysis lack transparency in their predictions. |
| Approach: | They propose a semi-supervised model that embeds local information into news articles . it can be used to improve automatic news analysis, authors argue . |
| Outcome: | The proposed model outperforms previous models and can be used with unlabeled training data. |
An Interactive Framework for Profiling News Media Sources (2024.naacl-long)
Copied to clipboard
| Challenge: | Existing tools for detecting fake news are difficult for automated systems . e.g., we focus on the source level, and ask: Is this source factual or politically biased? |
| Approach: | They propose an interactive framework for news media profiling that uses graphs and pre-trained large language models to characterize social context on social media. |
| Outcome: | The proposed framework can detect fake and biased news media with as little as 5 human interactions . it can scale better, as often sources publish have same factuality/political bias as source . |
Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing (L18-1)
Copied to clipboard
Ramesh Manuvinakurike, Jacqueline Brixey, Trung Bui, Walter Chang, Doo Soon Kim, Ron Artstein, Kallirroi Georgila
| Challenge: | a corpus of image edit requests is elicited for real world images, and an annotation framework is developed . evaluators evaluate crowd-sourced annotation as a means of efficiently creating a sizable corpus at a reasonable cost. |
| Approach: | They propose a natural language interface for interacting with an image editing program . they propose an annotation framework for understanding natural language requests . |
| Outcome: | The proposed tool interprets image edit requests and maps them to actionable commands. |
A Structured Clustering Approach for Inducing Media Narratives (2026.acl-long)
Copied to clipboard
| Challenge: | Existing approaches to modeling media narratives miss subtle narrative patterns through coarse-grained analysis or require domain-specific taxonomies that limit scalability. |
| Approach: | They propose a framework for inducing rich narrative schemas by jointly modeling events and characters via structured clustering. |
| Outcome: | The proposed framework produces explainable narrative schemas that align with established framing theory while scaling to large corpora without exhaustive manual annotation. |
Modeling Frames in Argumentation (D19-1)
Copied to clipboard
| Challenge: | In argumentation, framing is used to emphasize a specific aspect of a topic while concealing others. |
| Approach: | They propose an unsupervised method for framing arguments into non-overlapping frames . authors propose a corpus of 12, 326 debate-portal arguments organized along the frames of debates' topics . |
| Outcome: | The proposed method outperforms baselines on the argumentation task by 0.28 points. |
Social Story Frames: Contextual Reasoning about Narrative Intent and Reception (2026.acl-long)
Copied to clipboard
Joel Mire, Maria Antoniak, Steven R Wilson, Zexin Ma, Achyutarama R Ganti, Andrew Piper, Maarten Sap
| Challenge: | SocialStoryFrames is a formalism for distilling plausible inferences about reader response . authors characterize frequency and interdependence of storytelling intents across communities . |
| Approach: | They propose a formalism for distilling plausible inferences about reader response using conversational context and a taxonomy grounded in narrative theory, linguistic pragmatics, and psychology. |
| Outcome: | The proposed model can be used to analyze reader responses in online communities. |