Conceptual Mapping of Controversies in Online News Media: Navigating Diverse Perspectives and Analyzing Public Discourse

Основні поняття

The authors propose a concept-based approach to extract and visualize the landscapes of controversies in online news media using Formal Concept Analysis and the economics of conventions theory. This allows for navigating between news articles and analyzing the complexity, diversity, and potential biases in public discourse.

Анотація

The authors introduce a concept-based approach to extract and visualize the landscapes of controversies in online news media. They employ Formal Concept Analysis and the economics of conventions theory to derive conceptual controversy maps.

The key highlights are:

1. The concept lattice diagrams can be used to navigate between news articles, providing an alternative to news recommender systems that are often criticized for their selective and filtering effects.

2. The authors analyze the conceptual controversy maps using methods from ordinal data science to assess the diversity, complexity, and potential biases of controversies. They demonstrate this by studying the controversy around electric mobility in two different news journals.

3. The analysis shows that the two journals exhibit very different conceptual structures and perspectives on the controversy. Journal 1 has a simpler and more one-sided discussion, while Journal 2 reflects a more diverse and complex landscape.

4. The authors discuss the potential and limitations of using concept lattice diagrams for navigation from a user-centered perspective, comparing it to the use of recommender systems and considering aspects of human-computer interaction.

Overall, the proposed approach provides a transparent and user-centric way to navigate between news articles and analyze the public discourse on controversies.

Статистика

The authors analyzed 26 news articles from two journals on the topic of electric mobility.

Цитати

"With our work, we contribute towards a qualitative analysis of the discourse on controversies in online news media."
"News recommender systems are often criticized to overly emphasize economic interests at the cost of normative public interest."
"The concept lattice diagram can be used to navigate between news articles. In contrast to recommendations, the user navigates in a self-determined manner."

Ключові висновки, отримані з

Conceptual Mapping of Controversies

by Clau... о arxiv.org 05-01-2024

https://arxiv.org/pdf/2404.18940.pdf

Глибші Запити

How can the concept lattice-based navigation be further improved to enhance user experience and adoption, especially for mobile-first news consumption?

In order to enhance user experience and adoption of concept lattice-based navigation, especially for mobile-first news consumption, several improvements can be implemented:

Responsive Design: Ensure that the concept lattice diagrams are optimized for mobile devices, with a responsive design that adapts to different screen sizes. This will make it easier for users to navigate and interact with the diagrams on their mobile phones.

Interactive Features: Implement interactive features such as zooming, panning, and touch gestures to allow users to explore the concept lattice diagrams more intuitively. Users should be able to interact with the diagrams easily using touch controls on their mobile devices.

Guided Tutorial: Provide a guided tutorial or onboarding process for new users to familiarize them with the concept lattice navigation. This tutorial should be designed specifically for mobile users, with step-by-step instructions on how to navigate the diagrams effectively.

Search Functionality: Incorporate a search functionality that allows users to quickly find specific articles or concepts within the concept lattice. This will help users navigate the complex structure more efficiently, especially on mobile devices with limited screen space.

Personalization: Implement personalization features that tailor the concept lattice navigation experience to the user's preferences and reading habits. This could include recommending articles based on past interactions or highlighting relevant concepts based on the user's interests.

Offline Access: Provide an option for users to download or save concept lattice diagrams for offline access. This can be useful for users who want to explore the diagrams without an internet connection, especially when consuming news on the go.

By incorporating these improvements, the concept lattice-based navigation can be made more user-friendly and accessible, enhancing the overall user experience and adoption, particularly for mobile-first news consumption.

How can the automated classification of articles into the different conventions be further improved to scale the analysis to larger datasets?

To improve the automated classification of articles into different conventions and scale the analysis to larger datasets, the following strategies can be implemented:

Machine Learning Models: Utilize machine learning algorithms, such as natural language processing (NLP) models like BERT or LSTM, to automatically classify articles based on their content and context. These models can learn to identify patterns and associations between articles and conventions, improving the accuracy of classification.

Feature Engineering: Develop more advanced features that capture the nuances of different conventions and their manifestations in news articles. This could include sentiment analysis, topic modeling, and entity recognition to provide more context for the classification process.

Semi-Supervised Learning: Implement semi-supervised learning techniques to leverage both labeled and unlabeled data for classification. This approach can help in scaling the analysis to larger datasets by reducing the need for manual labeling of every article.

Ensemble Methods: Combine multiple classification algorithms using ensemble methods like Random Forest or Gradient Boosting to improve the overall classification performance. By aggregating the predictions of multiple models, the classification accuracy can be enhanced.

Active Learning: Implement active learning strategies to iteratively improve the classification model by selecting the most informative articles for manual annotation. This approach can help in continuously refining the classification model with minimal human intervention.

Scalable Infrastructure: Ensure that the infrastructure supporting the automated classification process is scalable and can handle large volumes of data efficiently. This may involve using cloud-based solutions or distributed computing frameworks to process and classify articles in parallel.

By incorporating these strategies, the automated classification of articles into different conventions can be further improved, enabling the analysis to scale effectively to larger datasets while maintaining high accuracy and efficiency.

What other applications or domains could benefit from the conceptual mapping of controversies approach beyond online journalism?

The conceptual mapping of controversies approach can be applied to various other domains and applications beyond online journalism, including:

Academic Research: Researchers in fields such as sociology, political science, and communication studies can use conceptual mapping to analyze and visualize complex controversies in their respective domains. This approach can help in understanding the different perspectives, arguments, and stakeholders involved in contentious issues.

Public Policy: Government agencies and policymakers can benefit from conceptual mapping to navigate and analyze controversial topics such as healthcare, environmental policies, and social welfare. By mapping out the various viewpoints and interests, policymakers can make more informed decisions.

Corporate Strategy: Businesses can use conceptual mapping to analyze controversies related to their industry, competitors, or stakeholders. This approach can help in identifying potential risks, opportunities, and areas for strategic intervention.

Social Media Analysis: Conceptual mapping can be applied to analyze controversies and debates on social media platforms. By mapping out the different narratives and perspectives, social media analysts can gain insights into public opinion and sentiment.

Legal Studies: Legal professionals can use conceptual mapping to analyze complex legal controversies, cases, and debates. This approach can help in visualizing the arguments, precedents, and implications of legal disputes.

Healthcare: The healthcare industry can benefit from conceptual mapping to analyze controversies related to medical treatments, public health policies, and ethical dilemmas. This approach can help in understanding the diverse perspectives and interests involved in healthcare controversies.

Overall, the conceptual mapping of controversies approach has broad applications across various domains and can provide valuable insights into complex and contentious issues beyond online journalism.