Algorithm that Presents Opposing Viewpoints

Social networks allow people to connect with each other and have conversations on a wide variety of topics. However, users tend to connect with like-minded people and read agreeable information, a behavior that leads to group polarization. Motivated by this scenario, we study how to take advantage of partial homophily to suggest agreeable content to users authored by people with opposite views on sensitive issues. We introduce a paradigm to present a data portrait of users, in which their characterizing topics are visualized and their corresponding tweets are displayed using an organic design. Among their tweets we inject recommended tweets from other people considering their views on sensitive issues in addition to topical relevance, indirectly motivating connections between dissimilar people. To evaluate our approach, we present a case study on Twitter about a sensitive topic in Chile, where we estimate user stances for regular people and find intermediary topics. We then evaluated our design in a user study. We found that recommending topically relevant content from authors with opposite views in a baseline interface had a negative emotional effect. We saw that our organic visualization design reverts that effect. We also observed significant individual differences linked to evaluation of recommendations. Our results suggest that organic visualization may revert the negative effects of providing potentially sensitive content.


Intended to break people out of their protective circles that generate extreme viewpoints, it presents opposing viewpoints that won't offend. Tricky.

Folksonomies: computer science debate algorithms recomendations

/art and entertainment/visual art and design/design (0.609181)
/hobbies and interests/games/board games and puzzles (0.446821)
/science/medicine/psychology and psychiatry (0.438222)

Opposing Viewpoints Intended (0.913482 (negative:-0.670574)), sensitive issues (0.819224 (positive:0.679536)), opposite views (0.782298 (negative:-0.048810)), potentially sensitive content (0.764158 (negative:-0.589146)), topically relevant content (0.713791 (negative:-0.665049)), significant individual differences (0.712041 (positive:0.370784)), negative emotional effect (0.703193 (negative:-0.665049)), organic visualization design (0.676801 (neutral:0.000000)), people (0.637678 (negative:-0.065733)), corresponding tweets (0.608923 (neutral:0.000000)), extreme viewpoints (0.601714 (negative:-0.670574)), agreeable information (0.595462 (positive:0.355693)), agreeable content (0.576716 (positive:0.616239)), sensitive topic (0.540621 (positive:0.371892)), protective circles (0.538415 (negative:-0.670574)), like-minded people (0.523113 (positive:0.355693)), dissimilar people (0.517678 (positive:0.704598)), Social networks (0.514119 (neutral:0.000000)), wide variety (0.512381 (neutral:0.000000)), characterizing topics (0.504702 (neutral:0.000000)), user stances (0.498792 (neutral:0.000000)), data portrait (0.497299 (positive:0.595817)), topical relevance (0.495986 (positive:0.742832)), baseline interface (0.488017 (negative:-0.665049)), intermediary topics (0.485101 (neutral:0.000000)), regular people (0.484610 (neutral:0.000000)), negative effects (0.481003 (negative:-0.589146)), case study (0.474625 (positive:0.371892)), organic design (0.472640 (neutral:0.000000)), user study (0.462065 (positive:0.272319))

Twitter:Company (0.744212 (positive:0.371892)), Social networks:FieldTerminology (0.739608 (neutral:0.000000)), Chile:Country (0.701406 (positive:0.371892))

Topical (0.906290): dbpedia | freebase
Motivation (0.845182): dbpedia | freebase
Addition (0.732177): dbpedia | freebase
Graphic design (0.630930): dbpedia | freebase | opencyc
Lidocaine (0.609993): dbpedia | freebase | yago
Topic (0.601997): dbpedia
Present (0.594276): dbpedia | freebase | opencyc
Twitter (0.594068): website | dbpedia | freebase | crunchbase

 Data Portraits: Connecting People of Opposing Views
Periodicals>Journal Article:  Graells-Garrido, Lalmas, Quercia (19 Nov 2013), Data Portraits: Connecting People of Opposing Views, Retrieved on 2013-12-03
  • Source Material []
  • Folksonomies: human-computer interaction