activity
20182021
most citedSemantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018

15 citations · 16 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2021★ 1 cited

Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter

Alexander Robertson, Walid Magdy, Sharon Goldwater

Prior work has shown that Twitter users use skin-toned emoji as an act of self-representation to express their racial/ethnic identity. We test whether this signal of identity can i…

cs.CL2021

Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji

Alexander Robertson, Walid Magdy, Sharon Goldwater

Research in sociology and linguistics shows that people use language not only to express their own identity but to understand the identity of others. Recent work established a conn…

cs.CL2021★ 15 cited

Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018

Alexander Robertson, Farhana Ferdousi Liza, Dong Nguyen +2

The semantics of emoji has, to date, been considered from a static perspective. We offer the first longitudinal study of how emoji semantics changes over time, applying techniques…

cs.CL2020

Scaling Systematic Literature Reviews with Machine Learning Pipelines

Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic +3

Systematic reviews, which entail the extraction of data from large numbers of scientific documents, are an ideal avenue for the application of machine learning. They are vital to m…

cs.CY2019

The Language of Dialogue Is Complex

Alexander Robertson, Luca Maria Aiello, Daniele Quercia

Integrative Complexity (IC) is a psychometric that measures the ability of a person to recognize multiple perspectives and connect them, thus identifying paths for conflict resolut…

cs.CL2018

Evaluating historical text normalization systems: How well do they generalize?

Alexander Robertson, Sharon Goldwater

We highlight several issues in the evaluation of historical text normalization systems that make it hard to tell how well these systems would actually work in practice---i.e., for…