Measuring the Accuracy and Learnability of Tools in the Struggle Against Misinformation in Social Media Applications

被引：0

作者：

Pinheiro, Alexandre ^{[1
]}

Aguiar, Ademar ^{[1
]}

Cappelli, Claudia ^{[2
]}

Maciel, Cristiano ^{[3
]}

机构：

[1] Univ Porto, Fac Engn, Porto, Portugal

[2] Univ Fed Estado Rio de Janeiro, Rio De Janeiro, Brazil

[3] Univ Fed Mato Grosso, Cuiaba, Mato Grosso, Brazil

来源：

2018 13TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2018年

关键词：

Misinformation; Social Media Ecosystem; Usability; Accuracy; Learnability; COMMUNITY; SENSE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Misinformation became pervasive on social media applications. The companies behind this kind of system have launched tools to avoid the problem, but some issues regarding the user behavior and proper software quality still need a forceful approach. First attempts to mitigate misinformation did not take into account user behavior and softwares requirements like learnability and accuracy, furthermore the characteristics of actors and artifacts from social media applications ecosystem has not been explored. This research aims to evaluate the usability of available tools made to combat the spread of misinformation and to verify the interrelationship between actors and artifacts from social media applications ecosystem for suggesting improvements on development of these tools.

引用

页数：4

共 29 条

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