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. 2024 Jan 2;82:1. doi: 10.1186/s13690-023-01230-z

Table 2.

Tasks respondents currently do, or would like to do on a social media analysis platform (n = 173)

Tasks
N (%)
Currently do Want to, not possible with current tools Want to, don’t know how Don't want to
Develop own boolean search strings 68 (39.5) 36 (20.9) 53 (30.8) 15 (8.7)
Analyze narratives based on a taxonomy 76 (43.9) 39 (22.5) 50 (28.9) 8 (4.6)
Use filters for gender or user-type 69 (40.1) 41 (23.8) 44 (25.6) 18 (10.5)
Use filters for sentiment or post intent (ie questions / complaints) 78 (46.4) 33 (19.6) 44 (26.2) 13 (7.7)
Filter data to a specific country 116 (65.5) 22 (12.4) 34 (19.2) 5 (2.8)
Filter data to a specific language 104 (59.1) 27 15.3) 34 (19.3) 11 (6.3)
Filter data for specific platform 103(59.9) 24 (14) 34 (19.8) 11 6.4)
Group posts to themes 86 (50) 38 (22.1) 39 (22.7) 9 (5.2)
Export data 105 (61.4) 25 (14.6) 32 (18.7) 9 (5.3)
Annotate narrative themes and content for easier thematic analysis 68 (41.5) 39 (23.8) 49 (29.9) 8 (4.9)
Compare and integrate with other data sources 70 (41.5) 41 (24.3) 48 (28.4) 10 (5.9)
Examine narrative themes and labels by changes in velocity as well as volume 52 (31.7) 38 (23.2) 59 (36) 15 (9.1)
Compare data over time 120 (68.2) 26 (14.8) 27 (15.3) 3 (1.7)
Identify common misinformation narratives 115 9 (67.3) 24 (14) 28 (16.4) 4 (2.3)
Do social network analysis 97 (56.1) 35 (20.2) 38 (22) 3 (1.7)
Trace a narrative through social network model and time 55 (33.1) 45 (27.1) 55 (33.1) 11 (6.6)
Annotate a narrative shift or mutation over time and social connections 49 (29.2) 38 (22.6) 63 (37.5) 18 (10.7)
Identify bots and bot-generated content 31 (18.9) 40 (24.4) 79 (48.2) 14 (8.5)
Import list of trusted users or sources for automated annotation/whitelisting 32 (20) 41 (25.6) 69 (43.1) 18 (11.3)
Import list of dubious users or pages for flagging in the analysis as untrustworthy 33 (20.4) 42 (25.9) 68 (42) 19 (11.7)
Perform analysis of links to internet web sites or other platforms to detect cross platform switching of content and users 35 (21.6) 48 (29.6) 64 (39.5) 15 (9.3)
Automatic scoring of credibility/authority of links in the social media content 27 (16.6) 41 (25.2) 81 (49.7) 14 (8.6)
Identification, filtering and analysis of duplicated content from humans and bots 27 (16.6) 43 (25.7) 76 (45.5) 21 (12.6)
Ability to filter between boosted and unboosted/organic content 38 (22.8) 45 (26.9) 65 (38.9) 19 (11.4)
Compare text based to image or video-based content 54 (31.8) 41 (24.1) 57 (33.5) 18 (10.6)
Compare data between countries or communities 77 (44.8) 37 (21.5) 43 (25) 15 (8.7)