100 lines
3.8 KiB
Plaintext
100 lines
3.8 KiB
Plaintext
---
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title: "Do Servers Matter on Mastodon? Data-driven Design for Decentralized Social Media"
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short-title: Mastodon Recommendations
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authors:
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- name: Carl Colglazier
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affiliation:
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name: Northwestern University
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city: Evanston
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state: Illinois
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country: United States
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corresponding: true
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bibliography: references.bib
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format:
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acm-html:
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comments:
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hypothesis: false
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acm-pdf:
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output-file: mastodon-recommendations-acm.pdf
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keep-md: true
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include-in-header:
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- text: |
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\usepackage{siunitx}
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acm-metadata:
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# comment this out to make submission anonymous
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anonymous: true
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# comment this out to build a draft version
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#final: true
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# comment this out to specify detailed document options
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# acmart-options: sigconf, review
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# acm preamble information
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copyright-year: 2018
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acm-year: 2018
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copyright: acmcopyright
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doi: XXXXXXX.XXXXXXX
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conference-acronym: "Conference acronym 'XX"
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conference-name: |
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Make sure to enter the correct
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conference title from your rights confirmation email
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conference-date: June 03--05, 2018
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conference-location: Woodstock, NY
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price: "15.00"
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isbn: 978-1-4503-XXXX-X/18/06
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# if present, replaces the list of authors in the page header.
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shortauthors: Colglazier
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# The code below is generated by the tool at http://dl.acm.org/ccs.cfm.
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# Please copy and paste the code instead of the example below.
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ccs: |
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\begin{CCSXML}
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<ccs2012>
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<concept>
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<concept_id>10003120.10003130.10003233.10010519</concept_id>
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<concept_desc>Human-centered computing~Social networking sites</concept_desc>
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<concept_significance>500</concept_significance>
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</concept>
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<concept>
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<concept_id>10002951.10003317.10003338</concept_id>
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<concept_desc>Information systems~Retrieval models and ranking</concept_desc>
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<concept_significance>300</concept_significance>
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</concept>
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<concept>
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<concept_id>10010405.10010497.10010498</concept_id>
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<concept_desc>Applied computing~Document searching</concept_desc>
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<concept_significance>300</concept_significance>
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</concept>
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<concept>
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<concept_id>10003120.10003130</concept_id>
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<concept_desc>Human-centered computing~Collaborative and social computing</concept_desc>
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<concept_significance>300</concept_significance>
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</concept>
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</ccs2012>
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\end{CCSXML}
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\ccsdesc[500]{Human-centered computing~Social networking sites}
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\ccsdesc[300]{Information systems~Retrieval models and ranking}
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\ccsdesc[300]{Applied computing~Document searching}
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\ccsdesc[300]{Human-centered computing~Collaborative and social computing}
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keywords:
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- decentralized online social networks
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abstract: |
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When trying to join Mastodon, a decentralized collection of interoperable social networking servers, new users face the dilemma of choosing a home server. Using trace data from millions of new Mastodon accounts, we show that new accounts are less likely to remain active on the network's largest general instances compared to others. Additionally, we observe a trend of users migrating from larger to smaller servers. Addressing the challenge of onboarding and server selection, the paper proposes a decentralized recommendation system for server using hashtags and the Okapi BM25 algorithm. This system leverages servers' top hashtags and their frequency to create a recommendation mechanism that respects Mastodon's decentralized ethos. Simulations demonstrate that such a tool can be effective even with limited data on each local server.
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execute:
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echo: false
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error: false
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warning: false
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message: false
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freeze: false
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cache: true
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fig-width: 6.75
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knitr:
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opts_knit:
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verbose: true
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code-block-border-left: false
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code-block-bg: false
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---
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{{< include _article.qmd >}} |