Social network integration and user content generation: Evidence from natural experiments

Ni Huang, Yili Hong, Gordon Burtch

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This study examines how social network integration (i.e., integration of online platforms with other social media services, for example, with Facebook or Twitter) can affect the characteristics of user-generated content (volume and linguistic features) in the context of online reviews. Building on the social presence theory, we propose a number of hypotheses on how social network integration affects review volume and linguistic features of review text. We consider two natural experiments at leading online review platforms (Yelp.com and TripAdvisor.com), wherein each implemented a social network integration with Facebook. Constructing a unique panel dataset of online reviews for a matched set of restaurants across the two review sites, we estimate a difference-in-differences (DID) model to assess the impact of social network integration. We find that integration with Facebook increased the production of user-generated content and positive emotion in review text, while simultaneously decreasing cognitive language, negative emotion, and expressions of disagreement (negations) in review text. Our findings demonstrate that social network integration works as a double-edged sword. On the one hand, integration provides benefits in terms of increased review quantity. On the other hand, these benefits appear to come at the cost of reduced review quality, given past research which has found that positive, emotional reviews are perceived by users to be less helpful. We discuss the implications of these results as they relate to the creation of sustainable online social platforms for user content generation.

Original languageEnglish (US)
Pages (from-to)1035-1058
Number of pages24
JournalMIS Quarterly: Management Information Systems
Volume41
Issue number4
StatePublished - Dec 1 2017

Fingerprint

Experiments
Linguistics
Natural experiment
Social networks
Facebook
Online reviews
User-generated content

Keywords

  • Difference-in-differences
  • Natural experiment
  • Online reviews
  • Social network integration
  • Text analytics

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Science Applications
  • Information Systems and Management

Cite this

Social network integration and user content generation : Evidence from natural experiments. / Huang, Ni; Hong, Yili; Burtch, Gordon.

In: MIS Quarterly: Management Information Systems, Vol. 41, No. 4, 01.12.2017, p. 1035-1058.

Research output: Contribution to journalArticle

@article{4488efa9422442deb67811cd0270210f,
title = "Social network integration and user content generation: Evidence from natural experiments",
abstract = "This study examines how social network integration (i.e., integration of online platforms with other social media services, for example, with Facebook or Twitter) can affect the characteristics of user-generated content (volume and linguistic features) in the context of online reviews. Building on the social presence theory, we propose a number of hypotheses on how social network integration affects review volume and linguistic features of review text. We consider two natural experiments at leading online review platforms (Yelp.com and TripAdvisor.com), wherein each implemented a social network integration with Facebook. Constructing a unique panel dataset of online reviews for a matched set of restaurants across the two review sites, we estimate a difference-in-differences (DID) model to assess the impact of social network integration. We find that integration with Facebook increased the production of user-generated content and positive emotion in review text, while simultaneously decreasing cognitive language, negative emotion, and expressions of disagreement (negations) in review text. Our findings demonstrate that social network integration works as a double-edged sword. On the one hand, integration provides benefits in terms of increased review quantity. On the other hand, these benefits appear to come at the cost of reduced review quality, given past research which has found that positive, emotional reviews are perceived by users to be less helpful. We discuss the implications of these results as they relate to the creation of sustainable online social platforms for user content generation.",
keywords = "Difference-in-differences, Natural experiment, Online reviews, Social network integration, Text analytics",
author = "Ni Huang and Yili Hong and Gordon Burtch",
year = "2017",
month = "12",
day = "1",
language = "English (US)",
volume = "41",
pages = "1035--1058",
journal = "MIS Quarterly: Management Information Systems",
issn = "0276-7783",
publisher = "Management Information Systems Research Center",
number = "4",

}

TY - JOUR

T1 - Social network integration and user content generation

T2 - Evidence from natural experiments

AU - Huang, Ni

AU - Hong, Yili

AU - Burtch, Gordon

PY - 2017/12/1

Y1 - 2017/12/1

N2 - This study examines how social network integration (i.e., integration of online platforms with other social media services, for example, with Facebook or Twitter) can affect the characteristics of user-generated content (volume and linguistic features) in the context of online reviews. Building on the social presence theory, we propose a number of hypotheses on how social network integration affects review volume and linguistic features of review text. We consider two natural experiments at leading online review platforms (Yelp.com and TripAdvisor.com), wherein each implemented a social network integration with Facebook. Constructing a unique panel dataset of online reviews for a matched set of restaurants across the two review sites, we estimate a difference-in-differences (DID) model to assess the impact of social network integration. We find that integration with Facebook increased the production of user-generated content and positive emotion in review text, while simultaneously decreasing cognitive language, negative emotion, and expressions of disagreement (negations) in review text. Our findings demonstrate that social network integration works as a double-edged sword. On the one hand, integration provides benefits in terms of increased review quantity. On the other hand, these benefits appear to come at the cost of reduced review quality, given past research which has found that positive, emotional reviews are perceived by users to be less helpful. We discuss the implications of these results as they relate to the creation of sustainable online social platforms for user content generation.

AB - This study examines how social network integration (i.e., integration of online platforms with other social media services, for example, with Facebook or Twitter) can affect the characteristics of user-generated content (volume and linguistic features) in the context of online reviews. Building on the social presence theory, we propose a number of hypotheses on how social network integration affects review volume and linguistic features of review text. We consider two natural experiments at leading online review platforms (Yelp.com and TripAdvisor.com), wherein each implemented a social network integration with Facebook. Constructing a unique panel dataset of online reviews for a matched set of restaurants across the two review sites, we estimate a difference-in-differences (DID) model to assess the impact of social network integration. We find that integration with Facebook increased the production of user-generated content and positive emotion in review text, while simultaneously decreasing cognitive language, negative emotion, and expressions of disagreement (negations) in review text. Our findings demonstrate that social network integration works as a double-edged sword. On the one hand, integration provides benefits in terms of increased review quantity. On the other hand, these benefits appear to come at the cost of reduced review quality, given past research which has found that positive, emotional reviews are perceived by users to be less helpful. We discuss the implications of these results as they relate to the creation of sustainable online social platforms for user content generation.

KW - Difference-in-differences

KW - Natural experiment

KW - Online reviews

KW - Social network integration

KW - Text analytics

UR - http://www.scopus.com/inward/record.url?scp=85033587764&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85033587764&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85033587764

VL - 41

SP - 1035

EP - 1058

JO - MIS Quarterly: Management Information Systems

JF - MIS Quarterly: Management Information Systems

SN - 0276-7783

IS - 4

ER -