Social and Behavioral Sciences Commons^™

Digital Tools - Supporting Systematic Reviews & Evidence Synthesis. Where Are We Now And What Might The Future Look Like?, Aaron Tay

Research Collection Library

Invited talk for ALIA HLA Lunchtime Seminar Aug 2022. In this invited talk, I survey the new emerging discovery tools mostly powered by open scholarly data, from new mega discovery indexes like Lens.org, Semantic Scholar to what I call literature review mapping tools (eg ResearchRabbit, Connected Papers, Litmaps) as well as “AI” power tools like Elicit.org and Scite.ai that use machine learning to enhance discovery in various ways. I suggest keys to understand and assessing such tools. Given the target audience of health science librarians, I briefly survey current use of such tools in evidence synthesis as well as the …

Investigating Toxicity Changes Of Cross-Community Redditors From 2 Billion Posts And Comments, Hind Almerekhi, Haewoon Kwak, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

This research investigates changes in online behavior of users who publish in multiple communities on Reddit by measuring their toxicity at two levels. With the aid of crowdsourcing, we built a labeled dataset of 10,083 Reddit comments, then used the dataset to train and fine-tune a Bidirectional Encoder Representations from Transformers (BERT) neural network model. The model predicted the toxicity levels of 87,376,912 posts from 577,835 users and 2,205,581,786 comments from 890,913 users on Reddit over 16 years, from 2005 to 2020. This study utilized the toxicity levels of user content to identify toxicity changes by the user within the …

Did Twitter Deliberately Mislead Elon Musk In His Acquisition Bid?, Mark Humphery-Jenner

Perspectives@SMU

Elon Musk has officially ended his bid to acquire Twitter on the grounds that it misled the market in its disclosures, writes UNSW Business School's Mark Humphery-Jenner

Imagining New Futures Beyond Predictive Systems In Child Welfare: A Qualitative Study With Impacted Stakeholders, Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu

Research Collection School Of Computing and Information Systems

Child welfare agencies across the United States are turning to datadriven predictive technologies (commonly called predictive analytics) which use government administrative data to assist workers’ decision-making. While some prior work has explored impacted stakeholders’ concerns with current uses of data-driven predictive risk models (PRMs), less work has asked stakeholders whether such tools ought to be used in the first place. In this work, we conducted a set of seven design workshops with 35 stakeholders who have been impacted by the child welfare system or who work in it to understand their beliefs and concerns around PRMs, and to engage them …

Open Access Enables New Tools And Features, Aaron Tay

Research Collection Library

Open Access levels are now at a tipping point. According to Digital Science’s Dimensions for the year 2020, Open Access surpassed subscription publication globally for the first time (Hook, 2021). Similarly in Dec 2020, with Elsevier agreeing to deposit open references to Crossref (the last major publisher to do), over 90% of Crossref references are now open (Hutchin, 2021). The combination of these two trends, both Open Access to full text and Open Scholarly metadata as well as Machine learning techniques has led to a rise of new tools in areas such as literature mapping , new indexes and new …

Twitter Demonstrates Why Poison Pills Are Bad For Shareholders, Mark Humphery-Jenner

Perspectives@SMU

Twitter’s poison pill appears to be an attempt to entrench the board rather than delivering shareholder value, writes UNSW Business School's Mark Humphery-Jenner

Conditional Superior Predictive Ability, Jia Li, Zhipeng Liao, Rogier Quaedvlieg

Research Collection School Of Economics

This article proposes a test for the conditional superior predictive ability (CSPA) of a family of forecasting methods with respect to a benchmark. The test is functional in nature: under the null hypothesis, the benchmark’s conditional expected loss is no more than those of the competitors, uniformly across all conditioning states. By inverting the CSPA tests for a set of benchmarks, we obtain confidence sets for the uniformly most superior method. The econometric inference pertains to testing conditional moment inequalities for time series data with general serial dependence, and we justify its asymptotic validity using a uniform non-parametric inference method …

Game Changing Factors Impacting The Scholarly Records, Aaron Tay

Research Collection Library

Invited talk for 18th Annual Library Leadership Institute - Hong Kong | 17 - 20 January 2022.

In this 2022 talk Aaron Tay, reflects and expands on the talk he gave at the OCLC APRC in 2018 where he proposes 3 main trends that will impact the long term future of academic libraries.

1. Increasing diversity of the Scholarly Record

2. Push towards "Open"

3. Increasing effectiveness of technology - e.g.. Machine learning.

All three trends work indepdendently as well as reinforce each other. In this updated talk he give examples of some of these trends from the use of …

Learning Before Testing: A Selective Nonparametric Test For Conditional Moment Restrictions, Jia Li, Zhipeng Liao, Wenyu Zhou

Research Collection School Of Economics

This paper develops a new test for conditional moment restrictions via nonparametric series regression, with approximating series terms selected by Lasso. Machine-learning the main features of the unknown conditional expectation function beforehand enables the test to seek power in a targeted fashion. The data-driven selection, however, also tends to distort the test’s size nontrivially, because it restricts the (growing-dimensional) score vector in the series regression on a random polytope, and hence, effectively alters the score’s asymptotic normality. A novel critical value is proposed to account for this truncation effect. We establish the size and local power properties of the proposed …