Drivers of healthy online conversations about loneliness and depression

Loneliness is becoming a global epidemic. As many as 33% of Americans report being chronically lonely, with similar percentages reported in countries around the world. Additionally, this is a percentage that has risen by as much as 50% in recent years. Many are turning to online forums as a way to connect with others about their feelings of loneliness and to begin to reduce these feelings. However, posts often go unresponded to and online conversations do not take place, perhaps because those conversing did not find a connection between each other, potentially leaving the poster feeling even more lonely. In this thesis, I first define health of conversation for these types of supportive online conversations. I then examine the contributors to conversational health, both in terms of the homophily of the participants and the way in which the participants are conversing. By comparing these characteristics among the spectrum of healthy, supportive, online conversations, I lay the groundwork for being able to facilitate finding optimal conversation partners for those that are feeling lonely. I conclude by envisioning what an interface would look like that would take these factors into account so people can most quickly find the right person to engage with.

Name thesis:degree_name

Master

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Fratamico, Lauren(Lauren Nicole)

Advisor dc:contributor.advisor

• Deb Roy.

• Program in Media Arts and Sciences

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/123638

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/123638