
 
Twitter, over vast content such as hate speeches. The 
term  digital  literacy  has  been  used  since  1990;  it 
refers  to  the  ability  to  read  and  understand 
hypertextual  and  multimedia  text;  Lanham  in 
(Bawden,  2001)  equates  the  term  digital  literacy 
with multimedia literacy, while, according to Deakin 
University’s  Graduate  Learning  Outcome  3  (DU 
GLO3), digital literacy  is  the use of technology to 
search, use, and disseminate information.  
Furthermore,  there  is  a  Network  of  Digital 
Literacy Activists (Jaringan Pegiat Literasi Digital) 
who  have  conducted  research  to  map  the  digital 
literacy  movement  in  Indonesia.  Their  research 
shows the following result:  
“Seen  from  agents  of  literacy  movement  at  9 
cities  in  Indonesia,  university  (56,14%)  emerge  as 
the main actor, followed by government (14,34%); 
community  (13,52%);  non-profit  organization 
(5,32%); school and corporate (3,68% each). Others 
are  professional  association  and  mass  organization 
2,86%); and media (0,4%)” (Kurnia, 2017). 
Whereas  “seen  from  the  variety  of  activities: 
socialization  or  lecture  (29,64%)  is  the  most 
frequently  performed  digital  literary  activities, 
followed by workshop or research (20,9%); seminar 
or  discussion  (14,32%);  research  (11,33%);  talk 
show (11,08%); publication (4,78%); campaign and 
advocacy  (4,28%);  others  are  competence, 
mentoring and formation of anti-hoax units (2,01%); 
and  curriculum  (1,51%)”  (Kurnia,  2017). 
Curriculum  has  the  lowest  percentage  in  digital 
literacy  activities  because  there  are  only  a  few 
universities that have digital literacy courses, one of 
which  is  the  Communication  Study  Program  of 
Gadjah  Mada  University.  This  encourages 
Researchers  to  examine  the  digital  literacy 
competence  of  netizen  activities  on  Twitter  on 
Communication  Science  students  of  Gadjah  Mada 
University, Yogyakarta. 
2  METHODS 
This  research  uses  a  descriptive  method  with  a 
qualitative approach. The primary research data are 
gathered  through  in-depth  interviews  with  3 
informants  who  are  the  Communication  Science 
students of Gadjah Mada University that actively use 
Twitter. A documentation technique using photos or 
screenshots  of  netizen  activity  on  Twitter  will  be 
used  as  secondary  data  in  this  research.  These 
documentation  data  will  be  useful  to  evaluate  the 
relevance  between  answers  given  by  interviewees 
and their lives on Twitter.  
The collected data is then analysed by doing data 
reduction,  data  presentation,  and  conclusion 
drawing. This analysis method refers to the Milles 
and Huberman analysis model in Emzir (2010). 
3  RESULT AND DISCUSSION 
This  research  aims  to  describe  the  digital  literacy 
competence of Communication Science students of 
Gadjah  Mada  University  reviewed  from  4 
competencies, that are internet searching, hypertext 
navigation,  content  evaluation,  and  knowledge 
assembly. The collected data are analysed using Paul 
Gilster’s theory.  
3.1  Internet Searching:  
  Fulfilling Netizen Curiosity 
As an informative form of social media, Twitter is 
used as a media for information searching for one’s 
interests and needs. Twitter users have the control to 
manage  from  whom  they  want  to  receive 
information  or  to  find  out  certain  issues  manually 
through  the  Twitter  search  features  like  the  search 
and  trending  column.  Informant  1  who  follows 
movie  updates  described  the  movie  information 
search  in  Twitter  by  “using  hashtag  of  the  movie 
title, reading replies and reviews from other users by 
clicking  each  links  available  on  their  blog”. 
Informant 1 showed that, in order to get information 
on  Twitter,  besides  having  to  follow  the  related 
interest  accounts  it  is  also  necessary  to  search  for 
information by entering the right keywords into the 
column search.. 
In  addition  to  the  ability  to  do  information 
searches,  Twitter  usage  activities  are  also  an 
indicator of digital literacy competency mastery on 
the aspect of internet searching. It is related to the 
knowledge  and  utilisation  of  various  features 
available on Twitter. Nevertheless, informants have 
a  tendency  to  use  only  the  features  they  feel  they 
need  in  interacting  on  Twitter.  As  revealed  by 
Informant 3, not all features are used when accessing 
Twitter.  However,  making  use  of  features  such  as 
tweet; like; reply;  bookmark dm; list; and  moment 
has helped him in interacting on Twitter. 
The Communication Science students of Gadjah 
Mada  University  already  know  that  the  needs  for 
information as well as certain issues can be fulfilled 
by  the  ability  to  search  via  Twitter  in  accordance 
with netizens’  interests and  needs. Besides  this, the 
ability  to  use  and  utilise  features  that  support 
interaction on Twitter is important. 
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