… the desired sensor functionalities using the Twitter API over the … We will make use of the
built-in hashtags feature in Twitter … As part of our current work, we are publishing data to Twitter …

… weakness of crowdsourced data for … Crowd sourced data can be analysed from big data
collected from social media to identify the various trends circulating on the internet and this data …

… This paper provides the humanitarian community with an automated tool that can detect a
disaster using tweets posted on Twitter, alongside a portal to identify local and regional Non-…

… Due to the small size of our crowdsourced corpus, we will use it in the MERT tuning (Och, …
data. We are currently extracting more data and the crowdsourced parallel data from Twitter …

… and recall, using respected vendors that can provide access to the full Twitter data stream
if … for growth in the Twitter population over time, considering crowdsourcing for analysis of …

… social media data originating from climate change discussions on Twitter. The same sample
of Twitter … We found that paid crowdsourcing required the employment of a high redundancy …

… This study aims to utilize Twitter data as a complementary data 40 source to supplement
incident reporting systems and provide additional information when existing 41 reporting …

… To get meaningful data from people at disaster site, we propose a system framework and a
research prototype that uses interactive crowdsourcing using SMS and Twitter to collect data …

… This article attempts to investigate human activities to understand urban functions through
crowdsourcing social media data. In this study, we mined Twitter and Foursquare data to …

… To do so, we utilize the Twitter Stream API and we collect all the tweets provided by the API
(1% of the entire traffic) during the period of 30th March 2017 - 9th April 2017, consisting of …