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1. www.nature.com › articles › s41599/024/03143-wUncovering the essence of diverse media biases from the ...

   www.nature.com › articles › s41599/024/03143-w

   May 22, 2024 · Inspired by the Cognitive Miser and Semantic Differential theories in psychology, and leveraging embedding techniques in the field of natural language processing, this study proposes a...

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3. www.sciencedirect.com › science › articleA systematic review on media bias detection: What is media ...

   www.sciencedirect.com › science › article

   Mar 1, 2024 · The main objectives of this part are the following: (i) to analyze the main techniques recently used for automatic media bias detection and to explore their results, (ii) to list the available resources and datasets for the task of media bias detection, and (iii) to discuss potential future research lines to increase the maturity of this area.

4. bpspsychub.onlinelibrary.wiley.com › doi › 10Using word embeddings to investigate cultural biases

   bpspsychub.onlinelibrary.wiley.com › doi › 10

   Jul 23, 2022 · We explain how word embeddings are constructed and how they can be used to measure bias along bipolar dimensions that are comparable to semantic differential scales. We review recent studies that show how familiar social biases can be detected in embeddings and how these change over time and in conjunction with real-world discriminatory practices.

   • Cited By: 3
   • Volume: 62, Issue1

   • Published: 23 July 2022

5. link.springer.com › article › 10Word embeddings are biased. But whose bias are they ...

   link.springer.com › article › 10

   • Cached

   May 26, 2022 · From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embedding techniques have an increasing presence in everyday interactions in human society. Biases, such as gender bias, have been thoroughly researched and evidenced to be present in word embeddings.

6. www.nature.com › articles › s41599/024/03143-wUncovering the essence of diverse media biases from the ...

   www.nature.com › articles › s41599/024/03143-w

   Then, we quantify media bias on each topic by calculating the embedding distance difference between a target word (e.g., scientist) and these two sets of words (e.g., female-related words and...

7. www.researchgate.net › publication › 363180648_MediaMedia Bias Detecting based on Word Embedding - ResearchGate

   www.researchgate.net › publication › 363180648_Media

   Aug 26, 2022 · However, there is still no widely accepted and effective word embedding technique for detecting bias. This paper explores the connection between political bias and word embedding...

8. People also ask

   Can embedding techniques be used to study media bias?

   • In addition, the method we propose is a generalizable framework for studying media bias using embedding techniques. While this study has focused on validating its effectiveness with specific types of media bias, it can actually be applied to a broader range of media bias research. We will expand the application of this framework in future work.

   Uncovering the essence of diverse media biases from the semantic

   www.nature.com/articles/s41599-024-03143-w

   See all results for this question

   Do word embeddings amplify pre-existing biases and stereotypes?

   • Because bias and stereotypes are present in the large corpora of texts that word embedding models are trained on, word embeddings also exhibit these biases and stereotypes. Further, word embeddings are found to even amplify the pre-existing biases in the training data (Zhao et al. 2017 ).

   Word embeddings are biased. But whose bias are they reflecting?

   link.springer.com/article/10.1007/s00146-022-01443-w

   See all results for this question

   Do word embeddings measure bias?

   • Word embeddings, by contrast, provide a means of measuring bias in a language community as a whole; and they allow retrospective analysis of bias in historical texts among people who are no longer alive. The word embeddings reviewed in this article measure biases directly at the collective level of analysis.

   Using word embeddings to investigate cultural biases

   bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjso.12560

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   Can a word embedding be used to identify biases in natural language?

   • However, because these methods rely on predefined meaning dictionaries and a deductive approach to analysis, they are less sensitive to identifying the subtle, context-dependent biases that social psychologists have foregrounded (see Bruner, 1990; Tileagă et al., 2022 ). Word embeddings are well suited to bias analysis of natural language.

   Using word embeddings to investigate cultural biases

   bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjso.12560

   See all results for this question

   Do word embeddings predict social bias?

   • Overall, this emerging literature provides grounds for confidence that word embeddings give robust, reproducible and valid estimates of social biases. Identify and extract the text data. The larger the corpus, the better the embedding will perform, and typically word embeddings are trained on millions of documents or sentences.

   Using word embeddings to investigate cultural biases

   bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjso.12560

   See all results for this question

   Can media bias be analyzed?

   • However, current analysis methods usually rely on human efforts or only focus on a specific type of bias, which cannot capture the varying magnitudes, connections, and dynamics of multiple biases, thus remaining insufficient to provide a deep insight into media bias.

   Uncovering the essence of diverse media biases from the semantic

   www.nature.com/articles/s41599-024-03143-w

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9. www.researchgate.net › publication › 350177339(PDF) Identification of Biased Terms in News Articles by ...

   www.researchgate.net › publication › 350177339

   Mar 1, 2021 · PDF | Slanted news coverage, also called media bias, can heavily influence how news consumers interpret and react to the news. To automatically identify... | Find, read and cite all the...