Bias, Subjectivity and Perspectives in Natural Language Processing

  • 6,530

    Total downloads

  • 75k

    Total views and downloads

About this Research Topic

Submission closed

Background

Subjectivity, perspectives, and bias are inherent to humans. This is reflected in the way people write and speak about events and entities in the world as well as in how they live through their personal experiences. Social and personal perspectives shape the entire production cycle of news, the trends in communication on social media, and even the types of discourse commonly perceived as objective (such as academic publications). While most work in Computational Linguistics and Natural Language Processing still focuses on language per se and phenomena on which humans agree to a large extent, there is a growing interest in modeling how different people frame the same phenomenon based on their own interests and agenda and how that influences the way in which communication is perceived.

An increasing number of works in the NLP community is focused on the automatic analysis of highly subjective phenomena, where the perception and socio-cultural background of the recipient of the messages play a critical role. In order to achieve this, the analysis of subtle features of communication is needed, including sentiment, emotion, identity, stance, irony, persuasive and deceptive language, toxic language, among others. The interpretation of natural language beyond its standing meaning becomes key to understanding the speaker’s stance or the veracity of a news item.

Modeling different perspectives is also the next step for Natural Language Understanding (NLU). On the one hand, next generation NLU systems need to be able to discern objective statements of factual events from opinions and loaded questions and statements. In other words, the meaning of a natural language expression needs to be modeled as a function of the personal point of view of its author. On the other hand, modern NLU models are largely based on Language Resources (LRs) and Machine Learning (ML). LRs are usually annotated by humans, who inevitably project the perspective of their personal background into the data. Moreover, the raw data, often collected automatically from Web sources, may reflect different perspectives due to the source itself, or the collection strategies adopted to create the corpora. Such factors are subsequently picked up by supervised ML models. Therefore, there is a growing need to capture and understand possible bias in the data and eliminate or keep under control its effect on the prediction capabilities of the models.

All of the above sources of subjectivity in textual data force us to re-think the very basics of the current practices employed in the design and evaluation of NLP systems, as well as their possible impact upon deployment in the real world. Furthermore, this line of research highlights the need to develop new technologies to assist people in conducting healthier online social interactions and obtaining reliable information.

The field is in dire need of a venue for research in the above directions, which would welcome a balanced combination of NLP technical rigor with fine-grained analysis of the social aspects of meaning and interpretation. At present, this is not contemplated by mainstream NLP conferences. This Research Topic aims at painting a wide picture of the state of studies on the expression and modeling of subjectivity in natural language from a computational standpoint, and fostering an interdisciplinary community of scholars actively working on this topic from different angles.

We welcome contributions on topics such as:

• Bias in language data
• Bias in NLP models
• Ethics and fairness in AI models
• Real-world effects of biased models
• Perspective extraction
• Opinion Mining & Aspect-based Sentiment Analysis
• Bias through affect expression in text
• Fact-checking and features of disinformation
• Stylometry (Author attribution and author profiling)
• Disagreement-aware Crowdsourcing
• Narrative Framing
• Narrative Understanding
• Computational Discourse Analysis
• Irony and Sarcasm
• Abusive Language Processing
• Contextualized meaning representations
• Language Resources for modeling social phenomena and perspectives

The Research Topic welcomes contributions in the form of theoretical or experimental papers, system demonstrations, as well as position papers as long as they fit within the topics of the call.

Research Topic Research topic image

Keywords: NLP, Sentiment Analysis, Bias, Subjectivity, Natural Language Understanding, Computational Linguistics, Language Resources, Machine Learning, Opinion Mining, Discourse Analysis

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Frequently asked questions

  • Frontiers' Research Topics are collaborative hubs built around an emerging theme.Defined, managed, and led by renowned researchers, they bring communities together around a shared area of interest to stimulate collaboration and innovation.

    Unlike section journals, which serve established specialty communities, Research Topics are pioneer hubs, responding to the evolving scientific landscape and catering to new communities.

  • The goal of Frontiers' publishing program is to empower research communities to actively steer the course of scientific publishing. Our program was implemented as a three-part unit with fixed field journals, flexible specialty sections, and dynamically emerging Research Topics, connecting communities of different sizes and maturity.

    Research Topics originate from the scientific community. Many of our Research Topics are suggested by existing editorial board members who have identified critical challenges or areas of interest in their field.

  • As an editor, Research Topics will help you build your journal, as well as your community, around emerging, cutting-edge research. As research trailblazers, Research Topics attract high-quality submissions from leading experts all over the world.

    A thriving Research Topic can potentially evolve into a new specialty section if there is sustained interest and a growing community around it.

  • Each Research Topic must be approved by the specialty chief editor, and it falls under the editorial oversight of our editorial boards, supported by our in-house research integrity team. The same standards and rigorous peer review processes apply to articles published as part of a Research Topic as for any other article we publish.

    In 2023, 80% of the Research Topics we published were edited or co-edited by our editorial board members, who are already familiar with their journal's scope, ethos, and publishing model. All other topics are guest edited by leaders in their field, each vetted and formally approved by the specialty chief editor.

  • Publishing your article within a Research Topic with other related articles increases its discoverability and visibility, which can lead to more views, downloads, and citations. Research Topics grow dynamically as more published articles are added, causing frequent revisiting, and further visibility.

    As Research Topics are multidisciplinary, they are cross-listed in several fields and section journals – increasing your reach even more and giving you the chance to expand your network and collaborate with researchers in different fields, all focusing on expanding knowledge around the same important topic.

    Our larger Research Topics are also converted into ebooks and receive social media promotion from our digital marketing team.

  • Frontiers offers multiple article types, but it will depend on the field and section journals in which the Research Topic will be featured. The available article types for a Research Topic will appear in the drop-down menu during the submission process.

    Check available article types here 

  • Yes, we would love to hear your ideas for a topic. Most of our Research Topics are community-led and suggested by researchers in the field. Our in-house editorial team will contact you to talk about your idea and whether you’d like to edit the topic. If you’re an early-stage researcher, we will offer you the opportunity to coordinate your topic, with the support of a senior researcher as the topic editor. 

    Suggest your topic here 

  • A team of guest editors (called topic editors) lead their Research Topic. This editorial team oversees the entire process, from the initial topic proposal to calls for participation, the peer review, and final publications.

    The team may also include topic coordinators, who help the topic editors send calls for participation, liaise with topic editors on abstracts, and support contributing authors. In some cases, they can also be assigned as reviewers.

  • As a topic editor (TE), you will take the lead on all editorial decisions for the Research Topic, starting with defining its scope. This allows you to curate research around a topic that interests you, bring together different perspectives from leading researchers across different fields and shape the future of your field. 

    You will choose your team of co-editors, curate a list of potential authors, send calls for participation and oversee the peer review process, accepting or recommending rejection for each manuscript submitted.

  • As a topic editor, you're supported at every stage by our in-house team. You will be assigned a single point of contact to help you on both editorial and technical matters. Your topic is managed through our user-friendly online platform, and the peer review process is supported by our industry-first AI review assistant (AIRA).

  • If you’re an early-stage researcher, we will offer you the opportunity to coordinate your topic, with the support of a senior researcher as the topic editor. This provides you with valuable editorial experience, improving your ability to critically evaluate research articles and enhancing your understanding of the quality standards and requirements for scientific publishing, as well as the opportunity to discover new research in your field, and expand your professional network.

  • Yes, certificates can be issued on request. We are happy to provide a certificate for your contribution to editing a successful Research Topic.

  • Research Topics thrive on collaboration and their multi-disciplinary approach around emerging, cutting-edge themes, attract leading researchers from all over the world.

  • As a topic editor, you can set the timeline for your Research Topic, and we will work with you at your pace. Typically, Research Topics are online and open for submissions within a few weeks and remain open for participation for 6 – 12 months. Individual articles within a Research Topic are published as soon as they are ready.

    Find out more about our Research Topics

  • Our fee support program ensures that all articles that pass peer review, including those published in Research Topics, can benefit from open access – regardless of the author's field or funding situation.

    Authors and institutions with insufficient funding can apply for a discount on their publishing fees. A fee support application form is available on our website.

  • In line with our mission to promote healthy lives on a healthy planet, we do not provide printed materials. All our articles and ebooks are available under a CC-BY license, so you can share and print copies.