information gathering is meticulous — along with orientation such tweets may have been
deleted, placed in a private setting, and there are interactions and relationships that also need
to be featured and reviewed — there will be a volume of information that can be processed and
scanned for recorded trolling characteristics.
EXPLANATING #INGRATA
In Allison Shapp's study, she has identi ed the di erent uses of language in the participation of
hashtags. The hashtag can be classi ed into two major categories: 1. the “tag” hashtag; 2.
and “commentary” hashtag. In the hashtag tag, the hashtag is a simple instrument to de ne a
bunch of clickable characters that refer to a shared topic or issue, such as #Halalan2016 or
#Yolanda which when used will collect entries related to the 2016 election and the typhoon
Yolanda. In the commentary hashtag, the hashtag (4-5) includes an opinion, evaluation, and/or
analysis.
There is also a syntactic di erence in the use of hashtags — the hashtag may have “syntactic
inclusion,” or be part of a sentence; "syntactic exclusion" if the hashtag appears in the
sentence (6-10). For example, there is a syntactic inclusion in the sentence "Are you excited
about #Halalan2016?" while syntactic exclusion is the characteristic of “You can donate to UP
Tacloban from Tuesday to Friday. #Yolanda. "
Another material that can be reviewed is the construction of the hashtags themselves. It can
have hashtags that are in word, phrase, and sentence units, and can be used in conjunction
with other hashtags in a single tweet or entry. Just a few this in variations that can be identi ed
and evaluated from the identi able Twitter entry in this paper.
#ingrata, for example, is one of the hashtags mentioned in both PDI and Quijano’s article.It is a
hashtag in the form of a commentary and in the word unit (it is not a phrase or sentence) .If
you can nd related publictweet from the end of April to the beginning of May 2015, it will be a
more comprehensive analysis of the various extractable revelations.If you can see trolling
characteristics from users of #ingrata, will also be able to see other potentially related
hashtags along with analyzing the di erent uses of language on this platform.
To help identify and analyze public tweets, we can use online tools with social media analytics
capabilities. These are computer-aided tools with the ability to provide information about
speci c hashtags- user volume, geography of users, sex, number of reposts and favorites or
likes, the very public tweets that use the hashtag being searched. For this paper, we used the
social media analytics tool of Topsy.com, a Website that provides free analysis of hashtags that
can be limited to Twitter only, and has the ability to specify a speci c range during which
entries can be reviewed, in addition to who the previous citations to the particular hashtags
are being searched for. Some of the other Websites that can be used are Tweetchup.com and
Keyhole.co '. Topsy was only chosen because other services have a time limit so hashtags
that are more than a week away from the set search date cannot be tracked.
Entered #ingrata into Topsy’s search engine, and viewed entries by oldest to newest from April
20 to May 20, 2015. Also viewed results by relevance, or the entries with the most replies or
mentions, and reposts or retweets.
With the help of Topsy.com's analytics, it appears that the rst to use #ingrata in the
Philippines in the context of the Veloso family was Twitter user Renz Christian (itsrenzyboi) on
April 30, 2015, 7:28 pm, which was answered by Teresita T. Reyes (TeresitaTReyes): While user
Renz Christian has a photo of her face, the physical identity of Teresita T. Reyes, who uses only
a pro le picture endorsing Mar Roxas and Leni, cannot be seen. Robredo for Election 2016.
As Quijano notes about trolls, Teresita T. Reyes attaches ingratitude to the “militant” label, a
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