Lian Jian

Lian Jian
University of Southern California | USC

PhD

About

22
Publications
11,674
Reads
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761
Citations
Citations since 2017
7 Research Items
640 Citations
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2017201820192020202120222023050100150
2017201820192020202120222023050100150
Introduction
Skills and Expertise

Publications

Publications (22)
Article
Full-text available
Crowdsourcing contests are contests by which organizations tap into the wisdom of crowds by outsourcing tasks to large groups of people on the Internet. In an online environment often characterized by anonymity and lack of trust, there are inherent uncertainties for participants of such contests. This study focuses on crowdsourcing contests with wi...
Article
Full-text available
While numerous studies have demonstrated the difficulty minority opinion holders face when trying to persuade a majority, the present research investigated the conditions under which minority members might second-guess themselves and become advocates for the majority’s position even when they have the best information. In a laboratory experiment, w...
Preprint
Full-text available
This paper reports an experiment testing the effectiveness of using monetary incentives to encourage better group decision making. The result is negative - performance-based incentives hurt group decision quality because the minority opinion holders who have valuable information second guess their own opinions.
Preprint
Full-text available
Crowdsourcing contests are contests by which organizations tap into the wisdom of crowds by outsourcing tasks to large groups of people on the Internet. In an online environment often characterized by anonymity and lack of trust, there are inherent uncertainties for participants of such contests. This study focuses on crowdsourcing contests with wi...
Article
This study examines dynamic communication processes of political misinformation on social media focusing on three components: the temporal pattern, content mutation, and sources of misinformation. We traced the lifecycle of 17 popular political rumors that circulated on Twitter over 13 months during the 2012 U.S. presidential election. Using text a...
Article
Full-text available
Because new members are important sources of knowledge to online knowledge communities, it is important to retain them after their initial interactions with the community. With a large-scale behavioral dataset collected from a leading online Question and Answer community for programmers, Stack Overflow, we investigated how the community’s knowledge...
Article
Full-text available
While both simultaneous and sequential contests are mechanisms used in practice such as crowdsourcing, job interviews and sports contests, few studies have directly compared their performance. By modeling contests as incomplete information all-pay auctions with linear costs, we analytically and experimentally show that the expected maximum effort i...
Article
Full-text available
Social media can be a double-edged sword for political misinformation, either a conduit propagating false rumors through a large population or an effective tool to challenge misinformation. To understand this phenomenon, we tracked a comprehensive collection of political rumors on Twitter during the 2012 US presidential election campaign, analyzing...
Article
Full-text available
Crowdfunded journalism is a new model for funding journalism in which reporters solicit micropayments from readers to finance their reporting. In the present study, we seek to identify the major motivations behind readers' donations to a pioneering crowdfunded journalism website, Spot.Us. Under the theoretical framework of collective action, we exp...
Article
Full-text available
Crowd‐funded journalism is a novel business model in which journalists rely on micropayments from ordinary people to finance their reporting. Based on analyses of the database of Spot.us, a pioneering crowd‐funded journalism website, we examine the impact of crowd‐funded journalism on the news produced. We apply a uses and gratifications approach t...
Article
Full-text available
We review incentive-centered design for user-contributed content (UCC) on the Internet. UCC systems, produced (in part) through voluntary contributions made by non-employees, face fundamental incentives problems. In particular, to succeed, users need to be motivated to contribute in the first place ("getting stuff in"). Further, given heterogeneity...
Article
Full-text available
Many online systems for bilateral transactions elicit performance feedback from both transacting partners. Such bilateral feedback giving introduces strategic considerations. We focus on reciprocity in the giving of feedback: how prevalent a strategy of giving feedback is only if feedback is first received from one’s trading partner. The overall le...
Article
Full-text available
We conduct laboratory experiments on variants of market scoring rule prediction markets, under different information distribution patterns, to evaluate the efficiency and speed of information aggregation, as well as test recent theoretical results on manipulative behavior by traders. We find that markets structured to have a fixed sequence of trade...
Article
Full-text available
Some user-contributed content (UCC) applications, such as Yahoo!Answers,Wikipedia, and YouTube have drawn much media attention. Various reasons motivate the tremendous contributions to a few UCC systems so far. Existing literature has uncovered many factors that affect users’ decisions to become contributors [Bryant et al., 2005], to continue contr...
Article
Full-text available
My dissertation contains three studies centering on the question: how to motivate people to share high quality information on online information aggregation systems, also known as social computing systems? I take a social scientific approach to identify the strategic behavior of individuals in information systems, and analyze how non-monetary incen...
Conference Paper
Full-text available
Prior theory and empirical work emphasize the enormous free-riding problem facing peer-to-peer (P2P) sharing net- works. Nonetheless, many P2P networks thrive. We ex- plore two possible explanations that do not rely on altru- ism or explicit mechanisms imposed on the network: di- rect and indirect private incentives for the provision of public good...
Article
Written with Lian Jian. Prior theory and empirical work emphasize the enormous free-riding problem facing peer-to-peer (P2P) sharing networks. Nonetheless, many P2P networks thrive. We explore two possible explanations: private provision of public goods and generalized reciprocity. We investigate a particular form of private incentives to share con...
Article
This paper analyzes the performance of a protocol proposed to improve the performance of Joint CDMA/PRMA protocol under heavy data traffic load condition. The proposed protocol features a demand-based assignment scheme for data transmission. Its performance is evaluated using two analysis methods: a Traditional Markov Analysis and a Transient Fluid...
Article
Full-text available
The United States Patent and Trademark Office (USPTO) is overburdened with a large volume of patent applications while having limited resources to conduct patent examinations. The patent examination process is too long and the quality of issued patents is questioned by the public. We propose to alleviate these problems by setting up prediction mark...

Questions

Question (1)
Question
I have a count data DV, over dispersed, panel data. Because two of the independent variables are endogenous, I would like to include instruments for them. (The model also includes fixed effects as dummies). Is there a command in Stata or R that can do this? I suppose programming GMM in Stata is the last resort option but are there any other easier ways? Thanks!

Network

Cited By

Projects

Project (1)
Project
This project analyzes both online community activity and offline purchasing behavior of designers and users of a crowdsourcing platform and ecommerce website for creative graphics applied to clothing, household items, and electronics cases. The longitudinal data we collected provide a unique opportunity to understand overlapping structures of social interaction driving peer influence and opinion formation as well as the offline economic consequences of this online activity. This study contributes to the literature by (i) analyzing multidimensional network structures of interpersonal and socio-technical interactions within these socio-technical systems, (ii) modeling how success feeds back into value-creation processes and facilitates learning, and (iii) developing methods to predict the economic success of creative products generated in these contexts.