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Martin Saveski

9 papers hereh-index 12948 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.SI5
  • stat.ME2
  • cs.CY1
  • cs.IR1
same name
  • Martin Saveski — 9 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedMe, My Echo Chamber, and I: Introspection on Social Media Polarization

115 citations · 212 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.SI2021★ 1 cited

Engaging Politically Diverse Audiences on Social Media

Martin Saveski, Doug Beeferman, David McClure +1

We study how political polarization is reflected in the social media posts used by media outlets to promote their content online. In particular, we track the Twitter posts of sever…

cs.SI2021

Perspective-taking to Reduce Affective Polarization on Social Media

Martin Saveski, Nabeel Gillani, Ann Yuan +2

The intensification of affective polarization worldwide has raised new questions about how social media platforms might be further fracturing an already-divided public sphere. As o…

cs.SI2021★ 6 cited

Social Catalysts: Characterizing People Who Spark Conversations Among Others

Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek +3

People assume different and important roles within social networks. Some roles have received extensive study: that of influencers who are well-connected, and that of brokers who br…

cs.SI2021★ 86 cited

The Structure of Toxic Conversations on Twitter

Martin Saveski, Brandon Roy, Deb Roy

Social media platforms promise to enable rich and vibrant conversations online; however, their potential is often hindered by antisocial behaviors. In this paper, we study the rela…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.