ESC

Publications

Here is a (mostly complete, but probably not fully up to date) list of all my peer-reviewed publications. A more comprehensive and up-to-date listing is available at my Google Scholar profile.

Preprints

  1. Gardasevic, S., Lamba, M., and Malone, J.S. (2025). “Co-Designing a Knowledge Graph Navigation Interface: A Participatory Approach.”

    Refereed Journal Articles

    1. Lamba, M., Peng, Y., Nikolov, S., Layne‐Worthey, G., & Downie, J. S. (2025). Metadata Enrichment of Long Text Documents using Large Language Models. Proceedings of the Association for Information Science and Technology, 62(1), 990–994. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1327
      DOI 
      @article{lamba_metadata_2025,
  title = {Metadata {Enrichment} of {Long} {Text} {Documents} using {Large} {Language} {Models}},
  volume = {62},
  issn = {2373-9231, 2373-9231},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1327},
  doi = {10.1002/pra2.1327},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Lamba, Manika and Peng, You and Nikolov, Sophie and Layne‐Worthey, Glen and Downie, J. Stephen},
  month = oct,
  year = {2025},
  pages = {990--994},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/VPRU6AT8/Lamba et al. - 2025 - Metadata Enrichment of Long Text Documents using Large Language Models.pdf:application/pdf}
}

      ABSTRACT
            In this project, we semantically enriched and enhanced the metadata of long text documents, theses and dissertations, retrieved from the HathiTrust Digital Library in English published from 1920 to 2020 through a combination of manual efforts and large language models. This dataset provides a valuable resource for advancing research in areas such as computational social science, digital humanities, and information science. Our paper shows that enriching metadata using LLMs is particularly beneficial for digital repositories by introducing additional metadata access points that may not have originally been foreseen to accommodate various content types. This approach is particularly effective for repositories that have significant missing data in their existing metadata fields, enhancing search results, and improving the accessibility of the digital repository.
    2. Lamba, M., Santosa, F. A., & Le, T. (2025). Coconut Libtool 2.0: Enhanced All‐in‐One Data and Text Mining Tool. Proceedings of the Association for Information Science and Technology, 62(1), 1523–1525. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1455
      DOI 
      @article{lamba_coconut_2025,
  title = {Coconut {Libtool} 2.0: {Enhanced} {All}‐in‐{One} {Data} and {Text} {Mining} {Tool}},
  volume = {62},
  issn = {2373-9231, 2373-9231},
  shorttitle = {Coconut {Libtool} 2.0},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1455},
  doi = {10.1002/pra2.1455},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Lamba, Manika and Santosa, Faizhal Arif and Le, Tam},
  month = oct,
  year = {2025},
  pages = {1523--1525},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/9YBFI7RU/Lamba et al. - 2025 - Coconut Libtool 2.0 Enhanced All‐in‐One Data and Text Mining Tool.pdf:application/pdf}
}

      ABSTRACT
            Textual analysis remains challenging for researchers, students and practitioners without programming expertise, creating barriers in social sciences and humanities research. This poster presents Coconut Libtool 2.0, an enhanced web‐based application that makes advanced textual analysis and visualization accessible to everyone. Building upon version 1.0, Coconut Libtool 2.0 significantly expands data source integration to include HathiTrust digital library, Dimensions, and PubMed, alongside existing Scopus, Web of Science, Lens, and customized file support. Enhanced text and visualization techniques include established methods for topic modeling, network text analysis, and keyword stemming, in addition to new features such as burst detection, sentiment analysis, and scattertext visualization.
    3. Peng, Y., Lamba, M., & Herrera‐Guzmán, Y. (2025). Wikipedia and \textlessspan style="font-variant:small-caps;"\textgreaterAI\textless/span\textgreater for Mapping Cultural Diaspora. Proceedings of the Association for Information Science and Technology, 62(1), 1637–1639. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1492
      DOI 
      @article{peng_wikipedia_2025,
  title = {Wikipedia and {\textless}span style="font-variant:small-caps;"{\textgreater}{AI}{\textless}/span{\textgreater} for {Mapping} {Cultural} {Diaspora}},
  volume = {62},
  issn = {2373-9231, 2373-9231},
  shorttitle = {Wikipedia and {\textless}span style="font-variant},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1492},
  doi = {10.1002/pra2.1492},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Peng, You and Lamba, Manika and Herrera‐Guzmán, Yessica},
  month = oct,
  year = {2025},
  pages = {1637--1639},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/P2YZ2NI3/Peng et al. - 2025 - Wikipedia and AI for Mapping Cultural Diaspora.pdf:application/pdf}
}

      ABSTRACT
            This project explores how publicly sourced digital platforms, combined with generative AI, can support the study of cultural diaspora in the performing arts. Using ballet as a case study, we extracted data from 518 English Wikipedia entries and applied GPT‐based models to structure information on premiere dates, locations, and creative contributors. We identify culturally significant locations and construct a bipartite network linking artists to ballet premiere cities, offering a framework to trace transnational creative flows that contribute to cultural diaspora. Our findings show that integrating human‐curated data with AI‐assisted structuring provides a valuable entry point for data‐driven analysis of cultural mobility in understudied domains. This work contributes to growing efforts to bridge computational methods and the humanities through accessible and reproducible approaches.
    4. Gala, B., Lamba, M., Batool, S. H., Islam, M. A., & Bhardwaj, R. K. (2025). Dueling COVID-19 misinformation: Perceptions and behavior of the rural population from South Asian countries. Journal of Librarianship and Information Science, 57(3), 762–776. https://journals.sagepub.com/doi/10.1177/09610006241241065
      DOI 
      @article{gala_dueling_2025,
  title = {Dueling {COVID}-19 misinformation: {Perceptions} and behavior of the rural population from {South} {Asian} countries},
  volume = {57},
  issn = {0961-0006, 1741-6477},
  shorttitle = {Dueling {COVID}-19 misinformation},
  url = {https://journals.sagepub.com/doi/10.1177/09610006241241065},
  doi = {10.1177/09610006241241065},
  language = {en},
  number = {3},
  urldate = {2026-06-11},
  journal = {Journal of Librarianship and Information Science},
  author = {Gala, Bhakti and Lamba, Manika and Batool, Syeda Hina and Islam, Md Anwarul and Bhardwaj, Raj Kumar},
  month = sep,
  year = {2025},
  pages = {762--776},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/BCV5V2ID/Gala et al. - 2025 - Dueling COVID-19 misinformation Perceptions and behavior of the rural population from South Asian c.pdf:application/pdf}
}

      This multi-lingual study presents the awareness, perceptions, and behavior regarding COVID-19 “misinformation” and “fake news,” among the rural population of the South Asian (SA) countries of Bangladesh, India, and Pakistan. The survey questionnaire was distributed to a convenient sample of 400 respondents from the three most populated SA countries selected due to their shared socio-cultural history; limited by fund availability and travel restrictions due to the prevailing lockdowns during the data collection period of early 2022. Results indicate that 92.98% of the participants perceived the presence of COVID-19 misinformation to varying degrees around them with less than 10% finding it easy to verify the accuracy of the information. The results indicate that the participants initially believed the made-up news and information to be true and then experienced fear or uncertainty upon realizing that it was fake. Results further show significant differences in perception and behavior when analyzed with the parameters of gender, age, education, and religion. Our study highlighted that female respondents perceived less than male respondents that fake news was around them, and younger participants of the study had less perception of the presence of fake news around them. The present study also found that the education level of respondents is a strong predictor of their perception of COVID-19 misinformation. Respondents with high school degrees perceived less made-up news and information than associate and master-level degree holders. The findings indicate a lack of media literacy, with a vast majority of individuals being susceptible to false information. The findings of the study will help healthcare professionals, information professionals, social workers, extension workers, and policymakers to deal with the Infodemic and further also assist in designing shared health information literacy programs across the region.
    5. Potnis, D., Gala, B., Seifi, L., Warraich, N., Lamba, M., & Reyes, V. (2024). Factors Influencing Professional Associations’ Member Engagement Online: An “Information Practices” Approach. Proceedings of the Association for Information Science and Technology, 61(1), 314–325. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1030
      DOI 
      @article{potnis_factors_2024,
  title = {Factors {Influencing} {Professional} {Associations}' {Member} {Engagement} {Online}: {An} “{Information} {Practices}” {Approach}},
  volume = {61},
  issn = {2373-9231, 2373-9231},
  shorttitle = {Factors {Influencing} {Professional} {Associations}' {Member} {Engagement} {Online}},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1030},
  doi = {10.1002/pra2.1030},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Potnis, Devendra and Gala, Bhakti and Seifi, Leili and Warraich, Nosheen and Lamba, Manika and Reyes, Vanessa},
  month = oct,
  year = {2024},
  pages = {314--325},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/ZFH2VZUC/Potnis et al. - 2024 - Factors Influencing Professional Associations' Member Engagement Online An “Information Practices”.pdf:application/pdf}
}

      ABSTRACT
            Member engagement can benefit professional associations, their members, and the profession. Rarely any studies adopt the “information practices” approach to identify the factors influencing professional associations’ member engagement. The experiences, epiphanies, and the frequency of 11 information practices of six SIG‐III officers and volunteers when planning and implementing 184 activities of eight initiatives from 2020 to 2023 helped this autoethnography study identify 99 sub‐factors and 18 factors influencing the member engagement online. Information production, dissemination, recording, use, and discovery emerge as the top 5 information practices of officers and volunteers, in the same order, for influencing the SIG member engagement. Managing member attendance, Sharing knowledge, Managing member attention, Meeting member needs, and Building trust serve as the top 5 factors, in the same order, for affecting the member engagement. We propose a theoretical model and provide guidance to associations to enhance and sustain member engagement.
    6. Wickett, K. M., Lamba, M., & Newman, J. (2024). Putting People First in Data Quality: Feminist Data Ethics for Open Government Datasets. Proceedings of the Association for Information Science and Technology, 61(1), 1135–1137. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1209
      DOI 
      @article{wickett_putting_2024,
  title = {Putting {People} {First} in {Data} {Quality}: {Feminist} {Data} {Ethics} for {Open} {Government} {Datasets}},
  volume = {61},
  issn = {2373-9231, 2373-9231},
  shorttitle = {Putting {People} {First} in {Data} {Quality}},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1209},
  doi = {10.1002/pra2.1209},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Wickett, Karen M. and Lamba, Manika and Newman, Jarrett},
  month = oct,
  year = {2024},
  pages = {1135--1137},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/EFR2JBPU/Wickett et al. - 2024 - Putting People First in Data Quality Feminist Data Ethics for Open Government Datasets.pdf:application/pdf}
}

      ABSTRACT
            Open government information systems offer great potential for advancing civic life and democracy, but they also reflect and reinforce the biases and systematic inequalities faced by members of socially marginalized groups. We present results from a critical data modeling project that uses a data quality framework to examine open datasets published by police departments in order to understand how data modeling choices shape the social impact of these datasets. Using an arrest record dataset published by the Los Angeles Police Department as a case study, we present we present results detailing the representation of racial data and the presence of children in the dataset. We argue that current data quality frameworks for open government data are insufficient for critical data studies due to an orientation around institutional and computational interests. Incorporating feminist data ethics into data quality analysis provides an approach to data quality that centers people and communities. We propose a definition for data quality of open government datasets based on an ethics of care that centers the needs of vulnerable populations and accountability of institutions toward their communities.
    7. Santosa, F. A., Lamba, M., George, C., & Downie, J. S. (2024). Coconut Libtool: Bridging Textual Analysis Gaps for Non‐Programmers. Proceedings of the Association for Information Science and Technology, 61(1), 639–644. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1072
      DOI 
      @article{santosa_coconut_2024,
  title = {Coconut {Libtool}: {Bridging} {Textual} {Analysis} {Gaps} for {Non}‐{Programmers}},
  volume = {61},
  issn = {2373-9231, 2373-9231},
  shorttitle = {Coconut {Libtool}},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.1072},
  doi = {10.1002/pra2.1072},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Santosa, Faizhal Arif and Lamba, Manika and George, Crissandra and Downie, J. Stephen},
  month = oct,
  year = {2024},
  pages = {639--644},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/X9UX3RHX/Santosa et al. - 2024 - Coconut Libtool Bridging Textual Analysis Gaps for Non‐Programmers.pdf:application/pdf}
}

      ABSTRACT
            
              In the era of big and ubiquitous data, professionals and students alike are finding themselves needing to perform a number of textual analysis tasks. Historically, the general lack of statistical expertise and programming skills has stopped many with humanities or social sciences backgrounds from performing and fully benefiting from such analyses. Thus, we introduce Coconut Libtool (
              www.coconut-libtool.com/
              ), an open‐source, web‐based application that utilizes state‐of‐the‐art natural language processing (NLP) technologies. Coconut Libtool analyzes text data from customized files and bibliographic databases such as Web of Science, Scopus, and Lens. Users can verify which functions can be performed with the data they have. Coconut Libtool deploys multiple algorithmic NLP techniques at the backend, including topic modeling (
              LDA, Biterm, and BERTopic
              algorithms), network graph visualization, keyword lemmatization, and sunburst visualization. Coconut Libtool is the people‐first web application designed to be used by professionals, researchers, and students in the information sciences, digital humanities, and computational social sciences domains to promote transparency, reproducibility, accessibility, reciprocity, and responsibility in research practices.
    8. Lamba, M., Walsh, J., Dubnicek, R., Christie, J., Downie, J. S., Swatscheno, J., Kudeki, D., & Layne-Worthey, G. (2024). TORCHLITE: New, Open Analytical Tools and Infrastructure for a Mega-Scale Digital Library. Proceedings of the Association for Information Science and Technology, 61(1), 980–982. _eprint: https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.1160. https://onlinelibrary.wiley.com/doi/abs/10.1002/pra2.1160
      DOI 
      @article{lamba_torchlite_2024,
  title = {{TORCHLITE}: {New}, {Open} {Analytical} {Tools} and {Infrastructure} for a {Mega}-{Scale} {Digital} {Library}},
  volume = {61},
  copyright = {87th Annual Meeting of the Association for Information Science \& Technology {\textbar} Oct. 25 – 29, 2024 {\textbar} Calgary, AB, Canada},
  issn = {2373-9231},
  shorttitle = {{TORCHLITE}},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/pra2.1160},
  doi = {10.1002/pra2.1160},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Lamba, Manika and Walsh, John and Dubnicek, Ryan and Christie, Jennifer and Downie, J. Stephen and Swatscheno, Janet and Kudeki, Deren and Layne-Worthey, Glen},
  year = {2024},
  note = {\_eprint: https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.1160},
  keywords = {API, Community Engagement, Data Visualization, Digital Libraries, HathiTrust},
  pages = {980--982},
  file = {Snapshot:/Users/manika/Zotero/storage/X9KPU8NV/pra2.html:text/html}
}

      This paper introduces TORCHLITE, an innovative HathiTrust Research Center (HTRC) open analytical and computational framework designed to offer efficient, open, and approachable access to the HTRC Extracted Features (EF) dataset via a well-documented web-based API. This poster will summarize project goals and progress, and discuss community engagement, which has played a pivotal role in this project. During a hackathon event held in spring 2024, TORCHLITE fostered collaboration among digital humanities and information science scholars to develop widgets and notebooks utilizing the EF API. Through the hackathon, participants explored the API’s capabilities, leading to the creation of over a dozen analytical widgets and interactive programming notebooks (e.g., Jupyter).
    9. Gala, B., Reyes, V., Seifi, L., & Lamba, M. (2024). Relationship building through informal gatherings and technology integrations: a case study. Library Hi Tech News, 41(2), 25–28. https://www.emerald.com/lhtn/article-abstract/41/2/25/1231363
      @article{gala_relationship_2024,
  title = {Relationship building through informal gatherings and technology integrations: a case study},
  volume = {41},
  shorttitle = {Relationship building through informal gatherings and technology integrations},
  url = {https://www.emerald.com/lhtn/article-abstract/41/2/25/1231363},
  number = {2},
  urldate = {2026-06-11},
  journal = {Library Hi Tech News},
  publisher = {Emerald Publishing Limited},
  author = {Gala, Bhakti and Reyes, Vanessa and Seifi, Leili and Lamba, Manika},
  year = {2024},
  pages = {25--28},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/YHME6AXC/Gala et al. - 2024 - Relationship building through informal gatherings and technology integrations a case study.pdf:application/pdf}
}
    10. Gardasevic, S., & Lamba, M. (2024). Knowledge Graph for Academic Libraries: A User-Centered Design Approach. https://www.ideals.illinois.edu/items/130413
      @article{gardasevic_knowledge_2024,
  title = {Knowledge {Graph} for {Academic} {Libraries}: {A} {User}-{Centered} {Design} {Approach}},
  shorttitle = {Knowledge {Graph} for {Academic} {Libraries}},
  url = {https://www.ideals.illinois.edu/items/130413},
  urldate = {2026-06-11},
  author = {Gardasevic, Stanislava and Lamba, Manika},
  year = {2024},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/4LMPFDGB/Gardasevic and Lamba - 2024 - Knowledge Graph for Academic Libraries A User-Centered Design Approach.pdf:application/pdf}
}
    11. Lund, B. D., Wang, T., Shamsi, A., Abdullahi, J., Awojobi, E. A., Borgohain, D. J., Bueno De La Fuente, G., Huerta, G. P., Isfandyari-Moghaddam, A., Islam, M. A., Khasseh, A. A., Lamba, M., Mannan, E. F., Manyonga, D., Nan, B., Nie, B., Raju N., V., Pineda, E. U., Shukla, R., … Yusuf, A. O. (2023). Barriers to scholarly publishing among library and information science researchers: International perspectives. Information Development, 39(2), 376–389. https://journals.sagepub.com/doi/10.1177/02666669211052522
      DOI 
      @article{lund_barriers_2023,
  title = {Barriers to scholarly publishing among library and information science researchers: {International} perspectives},
  volume = {39},
  issn = {0266-6669, 1741-6469},
  shorttitle = {Barriers to scholarly publishing among library and information science researchers},
  url = {https://journals.sagepub.com/doi/10.1177/02666669211052522},
  doi = {10.1177/02666669211052522},
  language = {en},
  number = {2},
  urldate = {2026-06-11},
  journal = {Information Development},
  author = {Lund, Brady D. and Wang, Ting and Shamsi, Amrollah and Abdullahi, Jamilu and Awojobi, Esther Abosede and Borgohain, Dhruba Jyoti and Bueno De La Fuente, Gema and Huerta, Gilberto Parra and Isfandyari-Moghaddam, Alireza and Islam, Md. Anwarul and Khasseh, Ali Akbar and Lamba, Manika and Mannan, Endang Fitriyah and Manyonga, David and Nan, Boya and Nie, Bing and Raju N., Vasantha and Pineda, Eva Ugarte and Shukla, Ravi and Da Silva, Rafaela Carolina and Yusuf, Aliyu Olugbenga},
  month = jun,
  year = {2023},
  pages = {376--389},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/MF5FKTMD/02666669211052522.html:text/html}
}

      The 21 authors of this study, 19 of whom are non-native English speakers, reflect on the barriers to publishing academic journal articles in top international journals. Each author responded to the same set of questions pertaining to educational (PhD) opportunities for emerging scholars, financial conditions for researchers, and challenges in publishing their work. Limited English language skills, lack of research funding, and different research topics were identified as the most significant barriers to publish in the journals. Recruiting volunteers or using electronic translations for accepted articles for journals, reducing software and subscription to academic journals costs, expanding journal scope, and providing guidance and collaboration across borders are possible measures to reduce the negative impact of the barriers.
    12. Malik, A., Batool, S. H., Agarwal, N. K., Islam, M. A., Jayasekara, P. K., Dangol, R., Lamba, M., & Mahmood, A. B. (2023). D/Misinformation on Social Media and the Role of the LIS Profession: A South Asian Perspective. Zenodo (CERN European Organization for Nuclear Research). https://www.academia.edu/download/112363420/Malik_A_MY23_Panel.pdf
      @article{malik_dmisinformation_2023,
  title = {D/{Misinformation} on {Social} {Media} and the {Role} of the {LIS} {Profession}: {A} {South} {Asian} {Perspective}},
  shorttitle = {D/{Misinformation} on {Social} {Media} and the {Role} of the {LIS} {Profession}},
  url = {https://www.academia.edu/download/112363420/Malik_A_MY23_Panel.pdf},
  urldate = {2026-06-11},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  author = {Malik, Amara and Batool, Syeda Hina and Agarwal, Naresh Kumar and Islam, Md Anwarul and Jayasekara, Prasadi Kanchana and Dangol, Reshma and Lamba, Manika and Mahmood, Abdul Baseer},
  year = {2023},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/KZ36J8DV/Malik et al. - 2023 - DMisinformation on Social Media and the Role of the LIS Profession A South Asian Perspective.pdf:application/pdf}
}
    13. Chan, H., Chu, S., Gala, B., Islam, M. A., Batool, S. H., Bhardwaj, R. K., Lamba, M., & Jayasekara, P. K. (2022). Equipping Students and Beyond with Sound \textlessspan style="font-variant:small-caps;"\textgreaterCOVID\textless/span\textgreater ‐19 Knowledge to Survive and Thrive Despite the Pandemic. Proceedings of the Association for Information Science and Technology, 59(1), 633–635. https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.673
      DOI 
      @article{chan_equipping_2022,
  title = {Equipping {Students} and {Beyond} with {Sound} {\textless}span style="font-variant:small-caps;"{\textgreater}{COVID}{\textless}/span{\textgreater} ‐19 {Knowledge} to {Survive} and {Thrive} {Despite} the {Pandemic}},
  volume = {59},
  issn = {2373-9231, 2373-9231},
  shorttitle = {Equipping {Students} and {Beyond} with {Sound} {\textless}span style="font-variant},
  url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.673},
  doi = {10.1002/pra2.673},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Proceedings of the Association for Information Science and Technology},
  author = {Chan, Helen and Chu, Sam and Gala, Bhakti and Islam, Md. Anwarul and Batool, Syeda Hina and Bhardwaj, Raj Kumar and Lamba, Manika and Jayasekara, Prasadi Kanchana},
  month = oct,
  year = {2022},
  pages = {633--635}
}

      ABSTRACT
            The COVID‐19 pandemic necessitated the understanding of the infodemic for making informed decisions. Limiting the spread of health misinformation and disinformation was the primary goal of the health informatics project. The project became the recipient of the ASIS&T “Chapter Innovation of the Year Award 2021”. A repertoire of online and offline initiatives was carried out with 9 well‐researched videos for promoting health informatics. Since August 2021, thousands of academics, librarians, teachers, parents, and students from 16 countries and regions were invited to be science communicators to create and disseminate accurate health information in their areas through an international digital story writing competition. In this paper, we will discuss the strategies of responding to the information crisis, including employing interventions that protect against the infodemic and mitigate its harmful effects, to strengthen the resilience of individuals and communities in dealing with it in an information‐resilient society.
    14. Madhusudhan, M., & Lamba, M. (2021). The changing roles of librarians: Managing emerging technologies in Libraries. Quality Library Services in New Era. https://www.researchgate.net/profile/Manika_Lamba3/publication/345005763_The_changing_roles_of_librarians_Managing_emerging_technologies_in_libraries/links/6086ee29907dcf667bc6f7b3/The-changing-roles-of-librarians-Managing-emerging-technologies-in-libraries.pdf
      @article{madhusudhan_changing_2021,
  title = {The changing roles of librarians: {Managing} emerging technologies in {Libraries}},
  shorttitle = {The changing roles of librarians},
  url = {https://www.researchgate.net/profile/Manika_Lamba3/publication/345005763_The_changing_roles_of_librarians_Managing_emerging_technologies_in_libraries/links/6086ee29907dcf667bc6f7b3/The-changing-roles-of-librarians-Managing-emerging-technologies-in-libraries.pdf},
  urldate = {2026-06-11},
  journal = {Quality Library Services in New Era},
  author = {Madhusudhan, Margam and Lamba, Manika},
  year = {2021},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/Y2WDD4KU/Madhusudhan and Lamba - 2021 - The changing roles of librarians Managing emerging technologies in Libraries.pdf:application/pdf}
}
    15. Lamba, M., Kashyap, N., & Margam, M. (2021). Research evaluation of computer science publications using Altmetrics: a cohort study of Indian Central Universities. Global Knowledge, Memory and Communication, 70(4-5), 459–486. https://www.emerald.com/gkmc/article/70/4-5/459/106284
      @article{lamba_research_2021,
  title = {Research evaluation of computer science publications using {Altmetrics}: a cohort study of {Indian} {Central} {Universities}},
  volume = {70},
  shorttitle = {Research evaluation of computer science publications using {Altmetrics}},
  url = {https://www.emerald.com/gkmc/article/70/4-5/459/106284},
  number = {4-5},
  urldate = {2026-06-11},
  journal = {Global Knowledge, Memory and Communication},
  publisher = {Emerald Publishing Limited},
  author = {Lamba, Manika and Kashyap, Neha and Margam, Madhusudhan},
  year = {2021},
  pages = {459--486},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/7PUJAQ5P/Lamba et al. - 2021 - Research evaluation of computer science publications using Altmetrics a cohort study of Indian Cent.pdf:application/pdf}
}
    16. Lamba, M. (2020). Research productivity of health care policy faculty: a cohort study of Harvard Medical School. Scientometrics, 124(1), 107–130. https://link.springer.com/10.1007/s11192-020-03433-5
      DOI 
      @article{lamba_research_2020,
  title = {Research productivity of health care policy faculty: a cohort study of {Harvard} {Medical} {School}},
  volume = {124},
  issn = {0138-9130, 1588-2861},
  shorttitle = {Research productivity of health care policy faculty},
  url = {https://link.springer.com/10.1007/s11192-020-03433-5},
  doi = {10.1007/s11192-020-03433-5},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Scientometrics},
  author = {Lamba, Manika},
  month = jul,
  year = {2020},
  pages = {107--130},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/NYYXL6PG/Lamba - 2020 - Research productivity of health care policy faculty a cohort study of Harvard Medical School.pdf:application/pdf}
}
    17. Garg, K. C., Lamba, M., & Singh, R. K. (2020). Bibliometric Analysis of papers published during 1992 to 2019 in DESIDOC Journal of Library and Information Technology. DESIDOC Journal of Library & Information Technology, 40(06), 396–402. http://publicationsdrdo.in/index.php/djlit/article/view/15741
      @article{garg_bibliometric_2020,
  title = {Bibliometric {Analysis} of papers published during 1992 to 2019 in {DESIDOC} {Journal} of {Library} and {Information} {Technology}},
  volume = {40},
  url = {http://publicationsdrdo.in/index.php/djlit/article/view/15741},
  number = {06},
  urldate = {2026-06-11},
  journal = {DESIDOC Journal of Library \& Information Technology},
  author = {Garg, K. C. and Lamba, Manika and Singh, Rahul Kumar},
  year = {2020},
  pages = {396--402},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/ADIXTB2N/Garg et al. - 2020 - Bibliometric Analysis of papers published during 1992 to 2019 in DESIDOC Journal of Library and Info.pdf:application/pdf}
}
    18. Lamba, M. (2019). Text Analysis of ETDs in ProQuest Dissertations and Theses (PQDT) Global (2016-2018). arXiv:2406.06076 [cs.DL]. http://arxiv.org/abs/2406.06076
      DOI 
      @article{lamba_text_2019,
  title = {Text {Analysis} of {ETDs} in {ProQuest} {Dissertations} and {Theses} ({PQDT}) {Global} (2016-2018)},
  url = {http://arxiv.org/abs/2406.06076},
  doi = {10.5281/zenodo.3545907},
  urldate = {2026-06-11},
  author = {Lamba, Manika},
  month = nov,
  year = {2019},
  note = {arXiv:2406.06076 [cs.DL]},
  keywords = {Computer Science - Digital Libraries},
  file = {Preprint PDF:/Users/manika/Zotero/storage/RPW6FWMQ/Lamba - 2019 - Text Analysis of ETDs in ProQuest Dissertations and Theses (PQDT) Global (2016-2018).pdf:application/pdf;Snapshot:/Users/manika/Zotero/storage/I69CLWCS/2406.html:text/html}
}

      The information explosion in the form of ETDs poses the challenge of management and extraction of appropriate knowledge for decision-making. Thus, the present study forwards a solution to the above problem by applying topic mining and prediction modeling tools to 263 ETDs submitted to the PQDT Global database during 2016-18 in the field of library science. This study was divided into two phases. The first phase determined the core topics from the ETDs using Topic-Modeling-Tool (TMT), which was based on latent dirichlet allocation (LDA), whereas the second phase employed prediction analysis using RapidMinerplatform to annotate the future research articles on the basis of the modeled topics. The core topics (tags) for the studied period were found to be book history, school librarian, public library, communicative ecology, and informatics followed by text network and trend analysis on the high probability cooccurred words. Lastly, a prediction model using Support Vector Machine (SVM) classifier was created in order to accurately predict the placement of future ETDs going to be submitted to PQDT Global under the five modeled topics (a to e). The tested dataset against the trained data set for the predictive performed perfectly.
    19. Lamba, M., & Madhusudhan, M. (2019). Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study. Scientometrics, 120(2), 477–505. http://link.springer.com/10.1007/s11192-019-03137-5
      DOI 
      @article{lamba_mapping_2019,
  title = {Mapping of topics in {DESIDOC} {Journal} of {Library} and {Information} {Technology}, {India}: a study},
  volume = {120},
  issn = {0138-9130, 1588-2861},
  shorttitle = {Mapping of topics in {DESIDOC} {Journal} of {Library} and {Information} {Technology}, {India}},
  url = {http://link.springer.com/10.1007/s11192-019-03137-5},
  doi = {10.1007/s11192-019-03137-5},
  language = {en},
  number = {2},
  urldate = {2026-06-11},
  journal = {Scientometrics},
  author = {Lamba, Manika and Madhusudhan, Margam},
  month = aug,
  year = {2019},
  pages = {477--505},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/5ZTXKYJ2/Lamba and Madhusudhan - 2019 - Mapping of topics in DESIDOC Journal of Library and Information Technology, India a study.pdf:application/pdf}
}
    20. Lamba, M., & Madhusudhan, M. (2019). Author-topic modeling of DESIDOC journal of library and information technology (2008-2017), India. https://scholarworks.sjsu.edu/libphilprac/2593/
      @article{lamba_author-topic_2019,
  title = {Author-topic modeling of {DESIDOC} journal of library and information technology (2008-2017), {India}},
  url = {https://scholarworks.sjsu.edu/libphilprac/2593/},
  urldate = {2026-06-11},
  author = {Lamba, Manika and Madhusudhan, Margam},
  year = {2019},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/3I87N8EG/Lamba and Madhusudhan - 2019 - Author-topic modeling of DESIDOC journal of library and information technology (2008-2017), India.pdf:application/pdf}
}
    21. Lamba, M., & Madhusudhan, M. (2018). Application of sentiment analysis in libraries to provide temporal information service: a case study on various facets of productivity. Social Network Analysis and Mining, 8(1), 63. http://link.springer.com/10.1007/s13278-018-0541-y
      DOI 
      @article{lamba_application_2018,
  title = {Application of sentiment analysis in libraries to provide temporal information service: a case study on various facets of productivity},
  volume = {8},
  issn = {1869-5450, 1869-5469},
  shorttitle = {Application of sentiment analysis in libraries to provide temporal information service},
  url = {http://link.springer.com/10.1007/s13278-018-0541-y},
  doi = {10.1007/s13278-018-0541-y},
  language = {en},
  number = {1},
  urldate = {2026-06-11},
  journal = {Social Network Analysis and Mining},
  author = {Lamba, Manika and Madhusudhan, Margam},
  month = dec,
  year = {2018},
  pages = {63},
  file = {Available Version (via Google Scholar):/Users/manika/Zotero/storage/BI5EFQAT/Lamba and Madhusudhan - 2018 - Application of sentiment analysis in libraries to provide temporal information service a case study.pdf:application/pdf}
}

    Refereed Conference Proceedings

    1. Shen, H., Chen, J., Gumusel, E., Liu, Z., Wei, M., Jiang, W., Lamba, M., & Zho, K. (2026, June). Automation at Odds with User Experience: Understanding Public Perceptions of Customer Service Chatbots in China. Proceedings of the 2026 29th International Conference on Computer Supported Cooperative Work in Design.
      @inproceedings{shen_automation_2026,
  title = {Automation at {Odds} with {User} {Experience}: {Understanding} {Public} {Perceptions} of {Customer} {Service} {Chatbots} in {China}},
  shorttitle = {Automation at {Odds} with {User} {Experience}},
  booktitle = {Proceedings of the 2026 29th {International} {Conference} on {Computer} {Supported} {Cooperative} {Work} in {Design}},
  author = {Shen, Haiqi and Chen, Justin and Gumusel, Ece and Liu, Zexuan and Wei, Mengyi and Jiang, Wensi and Lamba, Manika and Zho, Kyrie},
  month = jun,
  year = {2026},
  file = {Full Text PDF:/Users/manika/Zotero/storage/4DQYCZWI/Shen et al. - 2026 - Automation at Odds with User Experience Understanding Public Perceptions of Customer Service Chatbo.pdf:application/pdf}
}

      Customer service chatbots benefit businesses by automating workflows, reducing labor costs, and handling large volumes of user queries. However, users tend to complain about the suboptimal performance of these chatbots, leading to implications for user retention and experience. To understand user experience and perceptions and to navigate the balance between corporate goals and user experiences, we conducted a qualitative analysis of comments collected from Rednote (Xiaohongshu) on customer service chatbots. Our results reveal divided user experiences that point to a significant sociotechnical misalignment between automated efficiency and human-centric service needs. Specifically, we identify systemic trade-offs where aggressive corporate cost-reduction leads to digital exclusion and a crisis of user agency. This conflict necessitates greater attention to service quality, inclusiveness, and the social impact of AI-based services. Finally, we provided recommendations to enhance the user experience of customer service chatbots.
    2. Lamba, M., Peng, Y., Nikolov, S., & Downie, J. S. (2024). AckSent: Human Annotated Dataset of Support and Sentiments in Dissertation Acknowledgments. Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 1–5. https://dl.acm.org/doi/10.1145/3677389.3702594
      DOI 
      @inproceedings{lamba_acksent_2024,
  address = {Hong Kong China},
  title = {{AckSent}: {Human} {Annotated} {Dataset} of {Support} and {Sentiments} in {Dissertation} {Acknowledgments}},
  isbn = {979-8-4007-1093-3},
  shorttitle = {{AckSent}},
  url = {https://dl.acm.org/doi/10.1145/3677389.3702594},
  doi = {10.1145/3677389.3702594},
  language = {en},
  urldate = {2026-06-11},
  booktitle = {Proceedings of the 24th {ACM}/{IEEE} {Joint} {Conference} on {Digital} {Libraries}},
  publisher = {ACM},
  author = {Lamba, Manika and Peng, You and Nikolov, Sophie and Downie, John Stephen},
  month = dec,
  year = {2024},
  pages = {1--5}
}
    3. Lamba, M. (2022). Visualizing the Pace of COVID-19 Research: An Experimental Study of All India Institute of Medical Sciences (AIIMS), New Delhi.
      @inproceedings{lamba_visualizing_2022,
  address = {Delhi, India},
  title = {Visualizing the {Pace} of {COVID}-19 {Research}: {An} {Experimental} {Study} of {All} {India} {Institute} of {Medical} {Sciences} ({AIIMS}), {New} {Delhi}},
  language = {en},
  author = {Lamba, Manika},
  year = {2022},
  file = {PDF:/Users/manika/Zotero/storage/IEYYCCL8/Lamba - 2022 - Visualizing the Pace of COVID-19 Research An Experimental Study of All India Institute of Medical S.pdf:application/pdf}
}

      With the emergence of a new variant of coronavirus in 2019, it became important to devote a significant amount of time to reading and identifying relevant studies to better understand COVID-19. It is urgent to sort out important, effective, and meaningful information from large databases to guide scientific research and promote the proper con-trol, prevention, diagnosis, and treatment of COVID-19. Thus, this paper presents an experimental study that shows the application of topic modeling, and data visualization for COVID-19 research from 2010 to 2021 for the All India Institute of Medical Sciences (AIIMS), New Delhi, India. The results unveil the focus of scientific research, thereby giving deep in-sights into how the Indian medical society contributes to combating the COVID-19 pandemic.