| Literature DB >> 31914124 |
Yael Barel-Ben David1, Erez S Garty2, Ayelet Baram-Tsabari1.
Abstract
In many countries the public's main source of information about science and technology is the mass media. Unfortunately, in recent years traditional journalism has experienced a collapse, and science journalism has been a major casualty. One potential remedy is to encourage scientists to write for news media about science. On these general news platforms, scientists' stories would have to compete for attention with other news stories on hard (e.g. politics) and entertaining (e.g. celebrity news) topics written by professional writers. Do they stand a chance? This study aimed to quantitatively characterize audience interactions as an indicator of interest in science news stories authored by early career scientists (henceforth 'scientists') trained to function as science reporters, as compared to news items written by reporters and published in the same news outlets. To measure users' behavior, we collected data on the number of clicks, likes, comments and average time spent on page. The sample was composed of 150 science items written by 50 scientists trained to contribute popular science stories in the Davidson Institute of Science Education reporters' program and published on two major Israeli news websites-Mako and Ynet between July 2015 to January 2018. Each science item was paired with another item written by the website's organic reporter, and published on the same channel as the science story (e.g., tourism, health) and the same close time. Overall significant differences were not found in the public's engagement with the different items. Although, on one website there was a significant difference on two out of four engagement types, the second website did not have any difference, e.g., people did not click, like or comment more on items written by organic reporters than on the stories written by scientists. This creates an optimistic starting point for filling the science news void by scientists as science reporters.Entities:
Year: 2020 PMID: 31914124 PMCID: PMC6948730 DOI: 10.1371/journal.pone.0222250
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Screenshot of paired items from the Mako website to illustrate the matching process.
The item on the left, written by a scientist is titled “How can we have Wi-Fi on an airplane? And how does it work?”(written by Carmel Shor), whereas the item on the right was written by the website’s reporter and was titled “In the near future: airplane toilets that clean themselves”(written by the vacation channel editorial). Both items were published on the same day and on the same website channel (“Vacation”).
Data collection process.
| Year | Jan | Feb | Mar | April | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | Mako | Ynet | |
| 2015 | 3 | - | 2 | - | 1 | - | 6 | - | 6 | - | 7 | - | ||||||||||||
| 2016 | 6 | 1 | 4 | 1 | 10 | 4 | 6 | 2 | 3 | 3 | 4 | 4 | 4 | 9 | 6 | 10 | 0 | 1 | 0 | 1 | 8 | 13 | 5 | 15 |
| 2017 | 2 | 14 | 2 | 11 | 5 | 15 | 7 | 13 | 5 | 18 | 4 | 14 | 4 | 16 | 4 | 10 | - | 7 | - | 0 | - | 1 | - | 1 |
| 2018 | - | 1 | ||||||||||||||||||||||
Data were collected in March 2016 and January 2018. During that time 114 items were published by scientists on the Mako website and182 items on Ynet.
Headlines of paired items on the same topics.
| Website | Scientist's item headline | Reporter's item headline |
|---|---|---|
| “Seeing through Jupiter’s clouds” (4/7/2016) | “After a 5-year journey: Juno will reach Jupiter this week” (3/7/2016) | |
| “An Earth-like planet was discovered 4 light years away” (24/8/2016) | “Has a planet similar to Earth been found?” (24/8/2016) | |
| “A solar system with 7 Earth-like planets was discovered” (22/2/2017) | “Seven planets right next to each other:”Not much chance for life”” (22/2/2017) | |
| “The HPV vaccination is perfectly safe” (21/10/2016) | “”The vaccination doesn’t cause paralysis that same day”” (20/10/2016) |
Four rare occasions in which an item on the same topic was published written by the website’s organic reporter and also by a scientist from the reporters’ program. Items addressed the same topics and were published more or less at the same time. These items differed in terms of the frames and angles the writers chose to take. Public engagement was higher with the items written by reporters on the first and last items, whereas the opposite was found for the two others.
Comparison of reader engagement with items by scientists and reporters.
| Clicks (views) Mean ± SD | Time on page a (in sec.) Mean ± SD | Likes b | Comments c | ||
|---|---|---|---|---|---|
| Mako | Organic reporters | 21338.2 ± 28412.9 (n = 89) | 154.1 ± 89.3 (n = 92) | 229.8 ± 521.6 (n = 85) | 9.3 ± 10.2 (n = 89) |
| Scientists | 12469 ± 13217.9 (n = 89) | 147 ± 92.5 (n = 92) | 124 ± 272.1 (n = 85) | 6.6 ± 9.3 (n = 89) | |
| Statistic | n.s | n.s | t(81) = 3.1,p < 0.01 | ||
| Ynet | Organic reporters | 43803.9 ± 47778.6 (n = 59) | 1046.1, ±442.4 (n = 53) | 74.8, ±72.8 (n = 32) | 60.8, ±88.6 (n = 150) |
| Scientists | 37764.6 ± 32275.9 (n = 59) | 1052.0, ±510.6 (n = 53) | 78.8, ±90.8 (n = 32) | 59.4, ±63.6 (n = 150) | |
| Statistic | n.s | n.s | n.s | n.s | |
All non-significant cells appear in dark grey. Significant cells appear in light grey. P-values were calculated for paired t-tests and the t-statistic is reported. The Z score and the p-value are shown for non-parametric Wilcoxon signed-ranks tests.
a The considerable difference in average time spent on page between the two websites might result from differences in ‘Google Analytics’ preferences, settings or the use of the two companies, but this information was not disclosed, see also research limitations.
b The Likes category refers to the absolute number of likes each item received in both data collecting periods on the Mako website (n = 85). In contrast, the Likes category for the Ynet website refers only to the first round of data collection (n = 32), since during the time between the two data collecting rounds the website canceled the option. Hence, for this category the number of Ynet‘s paired items is low.
c Number of comments was recorded from the site itself, resulting in a different number of paired items for this category on the Ynet news site (n = 150). The number reflects the number of published comments, rather than the number of submitted comments (some comments are removed by the site editors).
Fig 2Number of views, average time on page, likes and comments for items authored by reporters and items written by trained scientists.
Top row portrays data from the Ynet news site, lower row shows data from the Mako news site. Column a. distribution of number of Clicks on items (Ynet n = 59 pairs, Mako n = 89 pairs); column b. distribution of average time spent on page (in sec.) (Ynet n = 53 pairs, Mako n = 92 pairs); c. distribution of the number of likes received (Ynet n = 32 pairs, Mako n = 85 pairs); column d. distribution of the number of comments on items written by reporters vs. trained scientists (Ynet n = 150 pairs, Mako n = 89 pairs). Median values are shown for each dataset.