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| rowid | event_id | name | clean_description | location_room | start_date_clean | start_time | end_time | pre_reg_flag | paid_flag | laptop_flag | speakers_cleaned | session_type | keywords | skill_level | session_title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 122 | 4197 | Interactive visualization for news readers' beliefs: Why and how | Many data journalists perceive their goal to be presenting data as clearly as possible. But a single data set provides only a partial view on what's true. Readers' prior beliefs about a topic can — and should — influence what they conclude from new data. Visualizations can be used to gather and represent beliefs in ways that transform the reader's experience and your own journalistic design process. This talk will introduce you to techniques and theories for helping your readers understand, What do (and should I) believe? We'll demo a new tool that allows anyone to create a "You draw it" style visualization to elicit and visualize readers' predictions. | 10 | 2019-03-08 | 2019-03-08 10:15:00 | 2019-03-08 11:15:00 | 0 | 0 | 0 | Jessica Hullman, Northwestern University & Yea-Seul Kim | 1 | Interactive visualization for news readers' beliefs: Why and how |