On the role of political affiliation in human perception the case of Delhi OddEven experiment

Tahar Zanouda; Sofiane Abbar; Laure Berti-Equille; Kushal Shah; Abdelkader Baggag; Sanjay Chawla; Jaideep Srivastava

doi:10.1007/978-3-319-67256-4_8

On the role of political affiliation in human perception the case of Delhi OddEven experiment

Tahar Zanouda, Sofiane Abbar, Laure Berti-Equille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In an effort to curb air pollution, the city of Delhi (India), known to be one of the most populated, polluted, and congested cities in the world has run a trial experiment in two phases of 15 days intervals. During the experiment, most of four-wheeled vehicles were constrained to move on alternate days based on whether their plate numbers ended with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the prime minister of India, N. Modi (former leader of BJP) defended the inefficiency of the initiative. This later has led to a strong polarization of public opinion towards OddEven experiment. This real-world urban experiment provided the scientific community with a unique opportunity to study the impact of political leaning on humans perception at a large-scale. We collect data about pollution and traffic congestion to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about the experiment in order to study people’s opinion within different dimensions: time, location, and topics. Our results reveal a strong influence of political affiliation on how people perceived the outcomes of the experiment. For instance, AAP supporters were significantly more enthusiastic about the success of OddEven compared to BJP supporters. However, taking into account location of people revealed that personal experience is able to overcome political bias.

Original language	English (US)
Title of host publication	Social Informatics - 9th International Conference, SocInfo 2017, Proceedings
Editors	Giovanni Luca Ciampaglia, Taha Yasseri, Afra Mashhadi
Publisher	Springer Verlag
Pages	74-88
Number of pages	15
ISBN (Print)	9783319672557
DOIs	https://doi.org/10.1007/978-3-319-67256-4_8
State	Published - 2017
Event	9th International Conference on Social Informatics, SocInfo 2017 - Oxford, United Kingdom Duration: Sep 13 2017 → Sep 15 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10540 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th International Conference on Social Informatics, SocInfo 2017
Country/Territory	United Kingdom
City	Oxford
Period	9/13/17 → 9/15/17

Bibliographical note

Publisher Copyright:
© 2017, Springer International Publishing AG.

Keywords

Computational social science
Political science
Urban big data analytics
Urban policy making

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1007/978-3-319-67256-4_8

OpenUrl availability

Full text

Cite this

Zanouda, T., Abbar, S., Berti-Equille, L., Shah, K., Baggag, A., Chawla, S., & Srivastava, J. (2017). On the role of political affiliation in human perception the case of Delhi OddEven experiment. In G. L. Ciampaglia, T. Yasseri, & A. Mashhadi (Eds.), Social Informatics - 9th International Conference, SocInfo 2017, Proceedings (pp. 74-88). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10540 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67256-4_8

On the role of political affiliation in human perception the case of Delhi OddEven experiment. / Zanouda, Tahar; Abbar, Sofiane; Berti-Equille, Laure et al.
Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. ed. / Giovanni Luca Ciampaglia; Taha Yasseri; Afra Mashhadi. Springer Verlag, 2017. p. 74-88 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10540 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zanouda, T, Abbar, S, Berti-Equille, L, Shah, K, Baggag, A, Chawla, S & Srivastava, J 2017, On the role of political affiliation in human perception the case of Delhi OddEven experiment. in GL Ciampaglia, T Yasseri & A Mashhadi (eds), Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10540 LNCS, Springer Verlag, pp. 74-88, 9th International Conference on Social Informatics, SocInfo 2017, Oxford, United Kingdom, 9/13/17. https://doi.org/10.1007/978-3-319-67256-4_8

Zanouda T, Abbar S, Berti-Equille L, Shah K, Baggag A, Chawla S et al. On the role of political affiliation in human perception the case of Delhi OddEven experiment. In Ciampaglia GL, Yasseri T, Mashhadi A, editors, Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. Springer Verlag. 2017. p. 74-88. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-67256-4_8

Zanouda, Tahar ; Abbar, Sofiane ; Berti-Equille, Laure et al. / On the role of political affiliation in human perception the case of Delhi OddEven experiment. Social Informatics - 9th International Conference, SocInfo 2017, Proceedings. editor / Giovanni Luca Ciampaglia ; Taha Yasseri ; Afra Mashhadi. Springer Verlag, 2017. pp. 74-88 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{bf4446751fb64fe3a11464eb146ec6b4,

title = "On the role of political affiliation in human perception the case of Delhi OddEven experiment",

abstract = "In an effort to curb air pollution, the city of Delhi (India), known to be one of the most populated, polluted, and congested cities in the world has run a trial experiment in two phases of 15 days intervals. During the experiment, most of four-wheeled vehicles were constrained to move on alternate days based on whether their plate numbers ended with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the prime minister of India, N. Modi (former leader of BJP) defended the inefficiency of the initiative. This later has led to a strong polarization of public opinion towards OddEven experiment. This real-world urban experiment provided the scientific community with a unique opportunity to study the impact of political leaning on humans perception at a large-scale. We collect data about pollution and traffic congestion to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about the experiment in order to study people{\textquoteright}s opinion within different dimensions: time, location, and topics. Our results reveal a strong influence of political affiliation on how people perceived the outcomes of the experiment. For instance, AAP supporters were significantly more enthusiastic about the success of OddEven compared to BJP supporters. However, taking into account location of people revealed that personal experience is able to overcome political bias.",

keywords = "Computational social science, Political science, Urban big data analytics, Urban policy making",

author = "Tahar Zanouda and Sofiane Abbar and Laure Berti-Equille and Kushal Shah and Abdelkader Baggag and Sanjay Chawla and Jaideep Srivastava",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 9th International Conference on Social Informatics, SocInfo 2017 ; Conference date: 13-09-2017 Through 15-09-2017",

year = "2017",

doi = "10.1007/978-3-319-67256-4_8",

language = "English (US)",

isbn = "9783319672557",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "74--88",

editor = "Ciampaglia, {Giovanni Luca} and Taha Yasseri and Afra Mashhadi",

booktitle = "Social Informatics - 9th International Conference, SocInfo 2017, Proceedings",

}

TY - GEN

T1 - On the role of political affiliation in human perception the case of Delhi OddEven experiment

AU - Zanouda, Tahar

AU - Abbar, Sofiane

AU - Berti-Equille, Laure

AU - Shah, Kushal

AU - Baggag, Abdelkader

AU - Chawla, Sanjay

AU - Srivastava, Jaideep

PY - 2017

Y1 - 2017

N2 - In an effort to curb air pollution, the city of Delhi (India), known to be one of the most populated, polluted, and congested cities in the world has run a trial experiment in two phases of 15 days intervals. During the experiment, most of four-wheeled vehicles were constrained to move on alternate days based on whether their plate numbers ended with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the prime minister of India, N. Modi (former leader of BJP) defended the inefficiency of the initiative. This later has led to a strong polarization of public opinion towards OddEven experiment. This real-world urban experiment provided the scientific community with a unique opportunity to study the impact of political leaning on humans perception at a large-scale. We collect data about pollution and traffic congestion to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about the experiment in order to study people’s opinion within different dimensions: time, location, and topics. Our results reveal a strong influence of political affiliation on how people perceived the outcomes of the experiment. For instance, AAP supporters were significantly more enthusiastic about the success of OddEven compared to BJP supporters. However, taking into account location of people revealed that personal experience is able to overcome political bias.

AB - In an effort to curb air pollution, the city of Delhi (India), known to be one of the most populated, polluted, and congested cities in the world has run a trial experiment in two phases of 15 days intervals. During the experiment, most of four-wheeled vehicles were constrained to move on alternate days based on whether their plate numbers ended with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the prime minister of India, N. Modi (former leader of BJP) defended the inefficiency of the initiative. This later has led to a strong polarization of public opinion towards OddEven experiment. This real-world urban experiment provided the scientific community with a unique opportunity to study the impact of political leaning on humans perception at a large-scale. We collect data about pollution and traffic congestion to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about the experiment in order to study people’s opinion within different dimensions: time, location, and topics. Our results reveal a strong influence of political affiliation on how people perceived the outcomes of the experiment. For instance, AAP supporters were significantly more enthusiastic about the success of OddEven compared to BJP supporters. However, taking into account location of people revealed that personal experience is able to overcome political bias.

KW - Computational social science

KW - Political science

KW - Urban big data analytics

KW - Urban policy making

UR - http://www.scopus.com/inward/record.url?scp=85029513568&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85029513568&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-67256-4_8

DO - 10.1007/978-3-319-67256-4_8

M3 - Conference contribution

AN - SCOPUS:85029513568

SN - 9783319672557

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 74

EP - 88

BT - Social Informatics - 9th International Conference, SocInfo 2017, Proceedings

A2 - Ciampaglia, Giovanni Luca

A2 - Yasseri, Taha

A2 - Mashhadi, Afra

PB - Springer Verlag

T2 - 9th International Conference on Social Informatics, SocInfo 2017

Y2 - 13 September 2017 through 15 September 2017

ER -

On the role of political affiliation in human perception the case of Delhi OddEven experiment

Abstract

Publication series

Other

Bibliographical note

Keywords

UN SDGs

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this