Evidence map›Paper›PMID 34356721›Full record

ArticleBehavioral sciences (Basel, Switzerland)2021

Grief Iconography between Italians and Americans: A Comparative Study on How Mourning Is Visually Expressed on Social Media.

Illene Noppe Cupit, Paolo Sapelli, Ines Testoni

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Illene Noppe CupitDepartment of Psychology, University of Wisconsin-Green Bay, Green Bay, WI 54311, USA.
Paolo SapelliDepartment of Philosophy, Sociology, Pedagogy and Applied Psychology (FISPPA), University of Padua, 35131 Padova, Italy.
Ines TestoniDepartment of Philosophy, Sociology, Pedagogy and Applied Psychology (FISPPA), University of Padua, 35131 Padova, Italy.ORCID 0000-0002-2325-6450
University of Padua · ITUniversity of Wisconsin–Green Bay · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an innovative way to express grief, social media posts about the deceased have become fairly common. However, few studies have examined commonly posted grief photos. The purpose of the present study was to examine such pictures, as well as the motivations and reactions of those who posted them, among Italians and Americans. Surveys were sent to both Italian and US participants. The US group yielded 262 responses (mean age = 22 years; 81% female), and the Italian group yielded 51 (mean age = 32 years; 82% female). Several key issues emerged, such as the need for social media users to receive empathic support from other users, the desire to maintain continuing bonds, the wish to remember the deceased, and the desire to share beauty and symbolic pictures. The images were analyzed using content analysis. Both samples posted photos to remember, and to enhance their posts. A strong preference for pictures with a positive emotional connotation appeared, depicting the deceased in a conjoint appearance with the participant. The results suggest that the imagery used for the expression of grief in social media sites, an "iconography of grief", is a popular means of expression for grievers across the two cultures.

Indexed as

comparative studydeathgriefinternetphotographsocial network sites

Identifiers

PMID34356721
PMCPMC8301040
OpenAlexW3186931385

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.