Abstract

Is it possible to manipulate the Altmetric score by using a social media echo chamber? Recently we came across something that triggered our curiosity. A university professor told us that she had created a series of social media profiles to inflate her Altmetric scores. Whenever publishing she herself would tweet and re-tweet the DOI of the publication and in this way enhance her own Altmetric performance. Following this, we made a small scale experiment. We encouraged our colleagues to tweet and re-tweet the DOI of a publication and found to our surprise that interest in this article spiraled out beyond our usual network, making a relatively inferior piece of work skyrocket towards the top 5% of all research outputs scored by Altmetric.
To examine the pliability of altmetric scores in a structured way, we will write an editorial in a scientific journal encouraging readers to share the DOI of the editorial on various social media platforms. We will track the effect of this engineered social engagement on the Altmetric donut over time. We will then use this altmetric engagement pattern as a baseline for our next experiment, examining the effect of a social media echo chamber. We will create a new DOI with no text behind it on Zenodo and a series of artificial profiles mimicking the exact patterns identified in the first experiment. We will see to what extent we can attain equal or even higher altmetric scores. Finally, we will track whether the DOI has had actual social engagement or has only been mentioned within our echo chamber.
Original languageEnglish
Publication date9. Oct 2019
Publication statusPublished - 9. Oct 2019
Event6:AM Altmetrics Conference - University of Stirling, Stirling, United Kingdom
Duration: 9. Oct 201910. Oct 2019

Conference

Conference6:AM Altmetrics Conference
LocationUniversity of Stirling
CountryUnited Kingdom
CityStirling
Period09/10/201910/10/2019

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Cite this

Deutz, D. B., Vlachos, E., Drongstrup, D., Larsen, A. V., Dorch, B. F., & Wien, C. (2019). Coloring in the Altmetric Donut. Poster session presented at 6:AM Altmetrics Conference, Stirling, United Kingdom.
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title = "Coloring in the Altmetric Donut",
abstract = "Is it possible to manipulate the Altmetric score by using a social media echo chamber? Recently we came across something that triggered our curiosity. A university professor told us that she had created a series of social media profiles to inflate her Altmetric scores. Whenever publishing she herself would tweet and re-tweet the DOI of the publication and in this way enhance her own Altmetric performance. Following this, we made a small scale experiment. We encouraged our colleagues to tweet and re-tweet the DOI of a publication and found to our surprise that interest in this article spiraled out beyond our usual network, making a relatively inferior piece of work skyrocket towards the top 5{\%} of all research outputs scored by Altmetric. To examine the pliability of altmetric scores in a structured way, we will write an editorial in a scientific journal encouraging readers to share the DOI of the editorial on various social media platforms. We will track the effect of this engineered social engagement on the Altmetric donut over time. We will then use this altmetric engagement pattern as a baseline for our next experiment, examining the effect of a social media echo chamber. We will create a new DOI with no text behind it on Zenodo and a series of artificial profiles mimicking the exact patterns identified in the first experiment. We will see to what extent we can attain equal or even higher altmetric scores. Finally, we will track whether the DOI has had actual social engagement or has only been mentioned within our echo chamber.",
author = "Deutz, {Daniella Bayle} and Evgenios Vlachos and Dorte Drongstrup and Larsen, {Asger V{\ae}ring} and Dorch, {Bertil F.} and Charlotte Wien",
year = "2019",
month = "10",
day = "9",
language = "English",
note = "6:AM Altmetrics Conference ; Conference date: 09-10-2019 Through 10-10-2019",

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Deutz, DB, Vlachos, E, Drongstrup, D, Larsen, AV, Dorch, BF & Wien, C 2019, 'Coloring in the Altmetric Donut' 6:AM Altmetrics Conference, Stirling, United Kingdom, 09/10/2019 - 10/10/2019, .

Coloring in the Altmetric Donut. / Deutz, Daniella Bayle; Vlachos, Evgenios; Drongstrup, Dorte; Larsen, Asger Væring; Dorch, Bertil F.; Wien, Charlotte.

2019. Poster session presented at 6:AM Altmetrics Conference, Stirling, United Kingdom.

Research output: Contribution to conference without publisher/journalPosterResearch

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T1 - Coloring in the Altmetric Donut

AU - Deutz, Daniella Bayle

AU - Vlachos, Evgenios

AU - Drongstrup, Dorte

AU - Larsen, Asger Væring

AU - Dorch, Bertil F.

AU - Wien, Charlotte

PY - 2019/10/9

Y1 - 2019/10/9

N2 - Is it possible to manipulate the Altmetric score by using a social media echo chamber? Recently we came across something that triggered our curiosity. A university professor told us that she had created a series of social media profiles to inflate her Altmetric scores. Whenever publishing she herself would tweet and re-tweet the DOI of the publication and in this way enhance her own Altmetric performance. Following this, we made a small scale experiment. We encouraged our colleagues to tweet and re-tweet the DOI of a publication and found to our surprise that interest in this article spiraled out beyond our usual network, making a relatively inferior piece of work skyrocket towards the top 5% of all research outputs scored by Altmetric. To examine the pliability of altmetric scores in a structured way, we will write an editorial in a scientific journal encouraging readers to share the DOI of the editorial on various social media platforms. We will track the effect of this engineered social engagement on the Altmetric donut over time. We will then use this altmetric engagement pattern as a baseline for our next experiment, examining the effect of a social media echo chamber. We will create a new DOI with no text behind it on Zenodo and a series of artificial profiles mimicking the exact patterns identified in the first experiment. We will see to what extent we can attain equal or even higher altmetric scores. Finally, we will track whether the DOI has had actual social engagement or has only been mentioned within our echo chamber.

AB - Is it possible to manipulate the Altmetric score by using a social media echo chamber? Recently we came across something that triggered our curiosity. A university professor told us that she had created a series of social media profiles to inflate her Altmetric scores. Whenever publishing she herself would tweet and re-tweet the DOI of the publication and in this way enhance her own Altmetric performance. Following this, we made a small scale experiment. We encouraged our colleagues to tweet and re-tweet the DOI of a publication and found to our surprise that interest in this article spiraled out beyond our usual network, making a relatively inferior piece of work skyrocket towards the top 5% of all research outputs scored by Altmetric. To examine the pliability of altmetric scores in a structured way, we will write an editorial in a scientific journal encouraging readers to share the DOI of the editorial on various social media platforms. We will track the effect of this engineered social engagement on the Altmetric donut over time. We will then use this altmetric engagement pattern as a baseline for our next experiment, examining the effect of a social media echo chamber. We will create a new DOI with no text behind it on Zenodo and a series of artificial profiles mimicking the exact patterns identified in the first experiment. We will see to what extent we can attain equal or even higher altmetric scores. Finally, we will track whether the DOI has had actual social engagement or has only been mentioned within our echo chamber.

M3 - Poster

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Deutz DB, Vlachos E, Drongstrup D, Larsen AV, Dorch BF, Wien C. Coloring in the Altmetric Donut. 2019. Poster session presented at 6:AM Altmetrics Conference, Stirling, United Kingdom.