IDEAS home Printed from https://ideas.repec.org/f/phi274.html
   My authors  Follow this author

Airo Hino

Personal Details

First Name:Airo
Middle Name:
Last Name:Hino
Suffix:
RePEc Short-ID:phi274
[This author has chosen not to make the email address public]

Affiliation

Faculty of Political Science and Economics
Waseda University

Tokyo, Japan
http://www.waseda.jp/fpse/
RePEc:edi:fewasjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2021. "Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study," Papers 2101.07695, arXiv.org.
  2. Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2020. "On a Japanese Subjective Well-Being Indicator Based on Twitter data," Papers 2012.14372, arXiv.org.

Articles

  1. Fahey, Robert A. & Hino, Airo, 2020. "COVID-19, digital privacy, and the social limits on data-focused public health responses," International Journal of Information Management, Elsevier, vol. 55(C).
  2. Hino, Airo & Fahey, Robert A., 2019. "Representing the Twittersphere: Archiving a representative sample of Twitter data under resource constraints," International Journal of Information Management, Elsevier, vol. 48(C), pages 175-184.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2021. "Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study," Papers 2101.07695, arXiv.org.

    Cited by:

    1. Francesca Marazzi & Andrea Piano Mortari & Federico Belotti & Giuseppe Carrà & Ciro Cattuto & Joanna Kopinska & Daniela Paolotti & Vincenzo Atella, 2022. "Staying Strong, But For How Long? Mental Health During COVID-19 in Italy," CEIS Research Paper 541, Tor Vergata University, CEIS, revised 26 Apr 2022.

Articles

  1. Fahey, Robert A. & Hino, Airo, 2020. "COVID-19, digital privacy, and the social limits on data-focused public health responses," International Journal of Information Management, Elsevier, vol. 55(C).

    Cited by:

    1. Banita Lal & Yogesh K. Dwivedi & Markus Haag, 2023. "Working from Home During Covid-19: Doing and Managing Technology-enabled Social Interaction With Colleagues at a Distance," Information Systems Frontiers, Springer, vol. 25(4), pages 1333-1350, August.
    2. Garcia-Perez, Alexeis & Cegarra-Navarro, Juan Gabriel & Sallos, Mark Paul & Martinez-Caro, Eva & Chinnaswamy, Anitha, 2023. "Resilience in healthcare systems: Cyber security and digital transformation," Technovation, Elsevier, vol. 121(C).
    3. Barbarossa, Camilla & Patrizi, Michela & Vernuccio, Maria & Carmen Di Poce, Maria & Pastore, Alberto, 2023. "The resistance toward COVID-19 contact tracing apps: A study of psychological reactance among young adults in Italy," Health Policy, Elsevier, vol. 136(C).
    4. Veronica Q T Li & Liang Ma & Xun Wu, 2022. "COVID-19, policy change, and post-pandemic data governance: a case analysis of contact tracing applications in East Asia [A survey of COVID-19 contact tracing apps]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 41(1), pages 129-142.
    5. Ibrahim Zada, 2022. "The Contributions of Customer Knowledge and Artificial Intelligence to Customer Satisfaction," International Review of Management and Marketing, Econjournals, vol. 12(5), pages 1-4, September.
    6. Zexun Chen & Sean Kelty & Alexandre G. Evsukoff & Brooke Foucault Welles & James Bagrow & Ronaldo Menezes & Gourab Ghoshal, 2022. "Contrasting social and non-social sources of predictability in human mobility," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

  2. Hino, Airo & Fahey, Robert A., 2019. "Representing the Twittersphere: Archiving a representative sample of Twitter data under resource constraints," International Journal of Information Management, Elsevier, vol. 48(C), pages 175-184.

    Cited by:

    1. Valerio Astuti & Marta Crispino & Marco Langiulli & Juri Marcucci, 2022. "Textual analysis of a Twitter corpus during the COVID-19 pandemics," Questioni di Economia e Finanza (Occasional Papers) 692, Bank of Italy, Economic Research and International Relations Area.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HAP: Economics of Happiness (2) 2021-02-01 2021-02-08. Author is listed
  2. NEP-HEA: Health Economics (2) 2021-02-01 2021-02-08. Author is listed
  3. NEP-BIG: Big Data (1) 2021-02-08. Author is listed
  4. NEP-EUR: Microeconomic European Issues (1) 2021-02-08. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Airo Hino should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.