Peer Review History
| Original SubmissionApril 4, 2024 |
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PONE-D-24-13028A Computational Analysis of Air Pollution Discourses in English Print Media of India and PakistanPLOS ONE Dear Dr. Ahmed, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Sep 06 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
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Please amend either the title on the online submission form (via Edit Submission) or the title in the manuscript so that they are identical. 5. Please ensure that you refer to Figure 2, 3, 4, 5 and 7 in your text as, if accepted, production will need this reference to link the reader to the figure. Additional Editor Comments: Dear Authors, Thank you for submitting the revised manuscript " A Computational Analysis of Air Pollution Discourses in English Print Media of India and Pakistan " to PLOS ONE. The reviewers have not recommended your paper and suggest major/minor revisions. The reviewer’s comments need to be addressed to improve the paper quality. I go through the revised manuscript and reviewers’ comments. I suggest you should address the reviewer’s comments and resubmit a revised version. Yours sincerely Dr. Malik Muhammad Akhtar Academic Editor PLOS ONE [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: No Reviewer #3: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This is a very relevant work using LDA on newspaper reports pertaining to air pollution in India and Pakistan. I suggest the following minor changes to improve the paper. In the methodology section, add which tools/packages were used for analysis. In the methodology section, add which city edition you used for each newspaper. In the discussion section, add some more discussion on Table 4, citing relevant studies. In conclusion section, explicitly add recommendations for policymakers. In conclusion section, explicitly add limitations and future work. Proof Corrections: In paragraph 2 of Introduction, one reference (Kumar & Omidvarborna, 2018) is not part of any sentence. In Literature Review, one reference (Nasir et al) does not have year. If no information is available add (n.d.) I wish you best for revisions. Reviewer #2: Methodology: The authors have used Latent Dirichlet Allocation (LDA), a topic modeling technique, to analyze the newspaper discourse on air pollution in India and Pakistan. However, more details on the preprocessing of the text data, the number of topics chosen, and the evaluation of the topic model would be helpful to assess the robustness of the methodology. Scope and Timeframe: The study focuses on newspaper discourses from 2005-2023, which is a reasonable timeframe to capture the evolution of the air pollution discourse in the two countries. However, it would be interesting to know if the authors considered any specific events or policy changes that may have influenced the discourse during this period. Data Sources: The authors mention analyzing English print media from India and Pakistan, but more details on the specific newspapers, circulation, and readership would provide better context for the analysis. Topic Modeling: The authors have used LDA to extract the primary topics related to air pollution discourses. It would be helpful to know if they explored alternative topic modeling techniques, such as Non-Negative Matrix Factorization (NMF) or Hierarchical Dirichlet Process (HDP), to compare the results and ensure the robustness of the findings. Topic Interpretation: The authors have provided interpretations of the key topics identified by the LDA model. It would be useful to know how they validated these interpretations, such as through expert interviews or comparison with existing literature. Cross-country Comparison: The study compares the air pollution discourses in India and Pakistan. It would be interesting to know if the authors found any significant differences in the topics or their relative importance between the two countries, and what might be the underlying reasons for such differences. Temporal Trends: The study covers a relatively long timeframe of almost two decades. It would be valuable to understand if the authors observed any significant changes in the air pollution discourses over time, and how these changes might be linked to specific events or policy interventions. Policy Implications: The authors mention that the study has implications for policymakers and planners. It would be helpful to elaborate on the specific policy recommendations that emerge from the analysis, and how they can be used to address the air pollution challenges in the two countries. Limitations and Future Research: The authors could discuss the limitations of the study, such as the reliance on English-language media or the potential biases in newspaper reporting, and suggest avenues for future research to build upon this work. Contextual Factors: Air pollution discourse is likely influenced by a range of contextual factors, such as economic development, urbanization, and political dynamics. It would be interesting to understand how the authors accounted for these factors in their analysis or how they could be incorporated in future research. Comparison with Other Studies: The authors could situate their findings within the broader literature on air pollution discourses, both in the South Asian region and globally, to highlight the unique contributions and insights of their study. Qualitative Analysis: While the study relies primarily on computational techniques, a complementary qualitative analysis of the newspaper articles could provide additional depth and nuance to the understanding of air pollution discourses. Stakeholder Perspectives: The study focuses on media discourses, but it could be valuable to explore the perspectives of other key stakeholders, such as policymakers, industry representatives, and civil society organizations, to gain a more comprehensive understanding of the air pollution issue. Implications for Public Engagement: The findings of the study could have implications for how air pollution is communicated to the public and how citizens can be engaged in addressing this challenge. The authors could discuss these aspects and their potential impact. Broader Societal Impacts: Air pollution has significant consequences for public health, the environment, and economic development. The authors could discuss how their findings relate to these broader societal impacts and how the insights from the study could contribute to more effective air pollution mitigation strategies. Reviewer #3: Thank you for the inteligent piece about the topic. The study is interesting. I hvae a few suggestions to make: 1. In the Introduction, please avoid the repetition around the literature under the Literature Review heading. Fisrt para has significant amount of repeated information from the previous section. You may want to break the subseuqent information sub-heading wise that will make the reader understand the topic deeply. Omit 'Literature Review' heading and break the section sub-heading wise. 2. Results have been presented well, however, it will be good if you can prepare a comparative discourse for the two countries and build the discussion accordingly. Individual details are fine but a comparative will largely help. 3. Discussion can be refined in a more scientific manner which can follow a strategic step-wise discussion that may involve firstly the studies of such kind that are nationally and globally available and a comparatie thereforth; secondly the results can be compared with other relevant studies done in developing countries that may or may not have used the similar approach; thirdly, it will good to also compare how the two discourses are different and what it may imply; fourthly, the conclusion can also talk about the possible actions country-wise based on the respective results and also how media reportings are relevant and make an impact on such issues and how can they be improved. Thanks ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Deepak Saxena Reviewer #2: No Reviewer #3: Yes: Dr Priyanka Rani Garg ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. |
| Revision 1 |
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PONE-D-24-13028R1 A Computational Analysis of Air Pollution Discourses in English Print Media of India and Pakistan PLOS ONE Dear Authors, I am pleased to inform you that your manuscript has been accepted for publication. Congratulations on your accomplishment, and thank you for choosing PLOS ONE as the venue to share your research. The next steps in the publication process will be managed by the production team. Best regards, Syed Ahsan Ali Shah Academic Editor PLOS ONE |
| Formally Accepted |
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PONE-D-24-13028R1 PLOS ONE Dear Dr. Ahmed, I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team. At this stage, our production department will prepare your paper for publication. This includes ensuring the following: * All references, tables, and figures are properly cited * All relevant supporting information is included in the manuscript submission, * There are no issues that prevent the paper from being properly typeset If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps. Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. If we can help with anything else, please email us at customercare@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Syed Ahsan Ali Shah Academic Editor PLOS ONE |
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