SenAffLex-Provo / Research-Programs-Citations.md
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SenAffLex-Provo — Research Programs and Scientific Publications

Centralized Research Publication Bibliography

Repository: SenAffLex-Provo
Repository Creator and Maintainer: Mohit Gupta
Institution: University of Illinois Urbana-Champaign
Documentation Version: 1.0
Last Updated: October 2026

Repository DOI: https://doi.org/10.57967/hf/11234

Repository URL:
https://huggingface.co/datasets/27guptamohit/SenAffLex-Provo


1. Purpose

This document maintains the authoritative bibliography of scientific publications associated with the SenAffLex-Provo research program.

The repository supports investigations of lexical, affective, and eventually sentiment-related influences on eye-movement behavior during naturalistic reading.

Each scientific publication has its own authorship, publication status, bibliographic metadata, and DOI where assigned.

The publication bibliography is separate from the repository's computational resource citation.

This document will be updated as manuscripts are accepted, published, corrected, or otherwise made publicly available.


2. Repository Citation

The shared computational research infrastructure is identified by:

Gupta, M. (2026). SenAffLex-Provo: Integrated sentiment, affective, and lexical research datasets and computational resources [Data set and software]. Hugging Face. https://doi.org/10.57967/hf/11234

This citation recognizes the original computational research resource.

Individual article citations recognize the scientific findings, analyses, and interpretations reported in those publications.


3. Research Program Overview

Research Program Research Focus Publication Status
Lexical Provo Lexical predictors and their interactions Future entries
Affective Provo — Fixation Duration Lexical and affective influences on reading duration VAD Paper 1 accepted
Affective Provo — Fixation Behavior Fixation occurrence and related reading behavior Future entries
Affective Provo — Regression Behavior Regression-related reading behavior Future entries
SenAffLex-Provo — Sentiment Integration Sentiment, lexical, and affective research Planned
Computational Research Infrastructure Dataset construction, methods, and reproducibility Future entries

Planned research should not be interpreted as completed or published work.


4. Affective Provo — Fixation Duration Research

4.1 VAD Paper 1

Title:
Beyond Word Length, Frequency, and Predictability: Affective Properties Predict Eye Movement in Reading

Authors: Mohit Gupta and Kiel Christianson

Journal: Reading Research Quarterly

Publication Status: Accepted for publication

Acceptance Date: October 20, 2026

Article DOI: Pending assignment

Recommended Citation

Gupta, M., & Christianson, K. (in press). Beyond word length, frequency, and predictability: Affective properties predict eye movement in reading. Reading Research Quarterly.

The final DOI and bibliographic information will be added when available.

Research Focus

This study investigates the contribution of affective word properties to eye-movement duration measures during naturalistic reading.

The research examines valence, arousal, and dominance alongside conventional lexical predictors including word length, frequency, and contextual predictability.

The analyses use linear mixed-effects modeling of the Affective Provo research dataset.

Associated Computational Resources

The corresponding repository resources include:

  • Affective Provo dataset construction.
  • Random-effects structure selection.
  • Linear mixed-effects modeling.
  • Statistical diagnostics.
  • Research results.
  • Reproducibility documentation.

Citation Guidance

Researchers using the scientific findings or interpretations reported in this article should cite Gupta and Christianson.

Researchers using the original computational resources should additionally cite SenAffLex-Provo where relevant.

Researchers using the underlying source datasets should cite their original publications.


5. Additional Fixation Duration Publications

Additional fixation-duration studies will be documented here when reportable bibliographic information becomes available.

Planned research is not represented as accepted or published.


6. Lexical Provo Research Program

The Lexical Provo research program investigates conventional lexical predictors of eye movements during naturalistic reading.

Research topics may include:

  • Word length.
  • Lexical frequency.
  • Contextual predictability.
  • Interactions among lexical predictors.
  • Eye-movement duration measures.
  • Statistical modeling of lexical processing.

Publication Status

Publication entries will be added when relevant manuscripts become publicly available or reach a reportable publication milestone.

No additional article DOI is asserted here.


7. Affective Provo — Fixation Behavior Research

This research program concerns fixation-related behavior beyond continuous duration outcomes.

Potential outcomes include:

  • Fixation occurrence.
  • Word skipping.
  • Fixation counts.
  • Other fixation-related measures.

Associated publications will be documented when bibliographic information becomes available.


8. Affective Provo — Regression Behavior Research

This research program concerns regression-related eye-movement behavior.

Potential outcomes include:

  • Regression occurrence.
  • Regression counts.
  • Regression-related reading behavior.

Associated publications will be documented when bibliographic information becomes available.


9. SenAffLex-Provo — Sentiment Research

Future development is planned to incorporate sentiment norming information through GLENS.

The expanded research infrastructure may support investigations involving:

  • Lexical predictors.
  • Affective dimensions.
  • Sentiment information.
  • Eye-movement behavior.
  • Interactions among these variables.

Publication Status: Planned.

No completed sentiment-integrated dataset or associated publication is asserted here.


10. Computational Research Infrastructure Publications

This section will document scientific publications focused on the computational development and methodological infrastructure of SenAffLex-Provo.

Potential topics include:

  • Computational dataset triangulation.
  • Lexical normalization.
  • Vocabulary matching.
  • Integrated dataset construction.
  • Reproducible psycholinguistic workflows.
  • Statistical model-selection procedures.

Publication entries will be added when relevant bibliographic information becomes available.


11. Publication Tracking

Research Program Publication Venue Status DOI
Affective Provo — Fixation Duration Beyond Word Length, Frequency, and Predictability: Affective Properties Predict Eye Movement in Reading Reading Research Quarterly Accepted October 20, 2026 Pending

Additional entries will be added as publication information becomes available.


12. Citation Principles

The research program distinguishes three categories of scholarly citation.

12.1 Original Source Data

Researchers should cite the original datasets relevant to their analyses.

See:

Raw Data Citations

12.2 Computational Research Repository

Researchers substantially using original SenAffLex-Provo computational contributions are strongly requested to cite:

Gupta, M. (2026). SenAffLex-Provo: Integrated sentiment, affective, and lexical research datasets and computational resources [Data set and software]. Hugging Face. https://doi.org/10.57967/hf/11234

12.3 Scientific Publications

Researchers using findings, statistical analyses, or theoretical contributions reported in an associated publication should cite that specific article.

The repository DOI and article DOIs identify different scholarly resources.


13. Publication Update Policy

This document will be updated when:

  1. A manuscript is accepted.
  2. An article receives a DOI.
  3. Final journal metadata becomes available.
  4. A new scientific publication is released.
  5. A correction or update is issued.
  6. A new research program produces a publication.

Each publication entry should include:

  • Article title.
  • Complete author list.
  • Publication venue.
  • Publication year.
  • Volume, issue, and page numbers or article identifier, where available.
  • DOI.
  • Publication status.
  • Related repository resources.

Final published citations should replace provisional bibliographic information.


14. Related Citation Documentation

SenAffLex-Provo Data Citation

Raw Data Citations

Machine-Readable Repository Citation


15. Repository Information

Repository: SenAffLex-Provo

Creator and Maintainer: Mohit Gupta

Institution: University of Illinois Urbana-Champaign

Repository DOI: https://doi.org/10.57967/hf/11234

Repository URL:
https://huggingface.co/datasets/27guptamohit/SenAffLex-Provo

Documentation Version: 1.0

Last Updated: October 2026


16. Important Notice

This document records scientific publications associated with SenAffLex-Provo.

It does not establish that all planned studies have been completed, accepted, or published.

Each scientific publication retains its own authorship, bibliographic information, and DOI.

The SenAffLex-Provo repository DOI identifies the shared computational research infrastructure.

Researchers should cite the original datasets, computational resources, and scientific publications relevant to their specific research use.