Evaluating the Ability of Computationally Extracted Narrative Maps to Capture Media Framing

แนวคิดหลัก

Narrative maps, a computational representation of storylines, can capture the overall framing distribution of news data, but maintaining consistent framing across the extracted narrative remains a challenge.

บทคัดย่อ

This study evaluates the ability of a computational narrative extraction method, known as narrative maps, to capture media framing information from news data. The key findings are:

The narrative maps extraction algorithm is able to capture the overall framing distribution of the news data set, as indicated by the low average Jensen-Shannon divergence between the framing distributions of the extracted maps and the original data.

However, the algorithm does not necessarily produce narrative maps with consistent framing across the extracted events. The qualitative analysis revealed instances of abrupt framing shifts between connected events in the narrative maps, suggesting the algorithm focuses more on content similarity rather than maintaining coherent framing.

The results highlight the potential of narrative maps to provide users with insights into the framing dynamics within news narratives, but also underscore the need for further research to develop techniques that can explicitly incorporate and maintain framing information during the computational narrative extraction process.

สถิติ

The data set contains 131 news articles with 3 high-level framing labels: "Frame 1: Political Issues", "Frame 2: Public Services", and "Frame 3: Cultural and Societal Issues".
The extracted narrative maps have a mean size of 19.7 nodes and a median size of 21 nodes, with a standard deviation of 3.15 nodes.

คำพูด

"While the narrative maps approach demonstrates the ability to capture high-level framing distributions, the inconsistencies revealed in our qualitative analysis suggest that current techniques may be insufficient for generating fully coherent narrative representations."
"Future research should prioritize the development of novel approaches that can more effectively maintain consistent framing across narrative chains."
"Users should be aware that the narrative chain may not always reflect a coherent framing trajectory and that abrupt shifts in perspective can obscure the underlying story."

ข้อมูลเชิงลึกที่สำคัญจาก

Evaluating the Ability of Computationally Extracted Narrative Maps to Encode Media Framing

by Seba... ที่ arxiv.org 05-07-2024

https://arxiv.org/pdf/2405.02677.pdf

สอบถามเพิ่มเติม

How can the narrative extraction process be enhanced to explicitly incorporate and maintain consistent framing information throughout the extracted narratives?

To enhance the narrative extraction process for maintaining consistent framing information, several improvements can be implemented. Firstly, the algorithm can be modified to prioritize framing consistency by incorporating a framing detection mechanism. This mechanism could analyze the language used in the text to identify framing cues and ensure that events with similar framing are connected in the narrative map. Additionally, the algorithm could be adjusted to consider the context of each event and its relation to the overall framing of the narrative, ensuring a coherent flow of framing throughout the extracted narrative.
Furthermore, the extraction process can benefit from a feedback loop mechanism where users can provide input on the framing of events in the narrative map. This feedback can be used to refine the algorithm and improve its ability to maintain consistent framing. By incorporating user feedback, the algorithm can learn to prioritize framing coherence and adjust the narrative structure accordingly.

What other computational techniques or approaches could be leveraged to analyze the interplay between narrative structure and media framing in news data?

Several computational techniques and approaches can be leveraged to analyze the interplay between narrative structure and media framing in news data. Natural Language Processing (NLP) techniques such as sentiment analysis, topic modeling, and named entity recognition can be used to identify key themes, sentiments, and entities in news articles, providing insights into how framing influences the narrative structure.
Machine learning algorithms, such as clustering and classification models, can help categorize news articles based on framing elements and identify patterns in framing strategies used by media outlets. Network analysis techniques can also be employed to visualize the relationships between different framing elements and how they contribute to the overall narrative structure.
Additionally, deep learning models, such as recurrent neural networks (RNNs) and transformers, can be utilized to analyze the sequential nature of narratives and how framing evolves over the course of a news story. These models can capture complex dependencies between events and framing elements, providing a deeper understanding of the interplay between narrative structure and media framing.

Given the potential insights that narrative maps can provide into framing dynamics, how might these representations be integrated into journalistic workflows or policy decision-making processes?

The insights provided by narrative maps into framing dynamics can be valuable for both journalistic workflows and policy decision-making processes. In journalistic workflows, narrative maps can be used to track how framing evolves over time, identify dominant framing strategies used by different media outlets, and analyze the impact of framing on public perception. Journalists can use these insights to enhance their reporting, uncover hidden biases, and provide more balanced coverage of news events.
In policy decision-making processes, narrative maps can help policymakers understand how framing influences public opinion, identify potential biases in media coverage of policy issues, and assess the effectiveness of communication strategies. By incorporating narrative maps into policy analysis, decision-makers can make more informed choices, anticipate public reactions to policy initiatives, and tailor their messaging to resonate with different audience segments.
Overall, integrating narrative maps into journalistic workflows and policy decision-making processes can enhance transparency, promote critical thinking, and foster a more nuanced understanding of the complex interplay between narrative structure and media framing in shaping public discourse and policy outcomes.