Evidence map›Paper›PMID 36311460›Full record

ArticleProcedia computer science2022

Keeping the secrecy aspect in mass e-voting.

Grzegorz Szyjewski

Abstract read
In one paragraph

Article in Procedia computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Grzegorz SzyjewskiUniversity of Szczecin, Institute of Management, ul. Cukrowa 8,71-004 Szczecin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two years of the COVID-19 pandemic have pushed society's digitalization forward like nothing ever before. Activities that weren't achievable without personal contact, became present online. Currently, when the COVID-19 restrictions are being lifted and personal meetings are becoming possible, in some cases, it still appeared to be more convenient to "meet" virtually than physically. Some actions proved to be more effective when performed online. That is why some people didn't want to come back to the previous form of communication anymore. Many decision-makers who see all the advantages of online communication have turned to the new possibilities that are served by Internet systems. Hence, they intend to keep it virtual even now, when pandemic restrictions have been lifted in most cases. This situation implies lots of great ideas for virtualization. One of those is online voting and polling conducted on many voters - groups larger than just board members or delegates. Such balloting could be performed using a voting system. Unfortunately, in the case of the decision-making process, which should be treated as a one-time event, using typical solutions is mostly very ineffective. Observations revealed that e-voting procedures conducted on a large number of electors may be challenging for many, not computer-experienced users. The procedure of authentication has to stay present in order to protect the votings against ballot stuffing. Particularly in secret voting, the problem remains the same: how to verify the user for a secret ballot without revealing his data. In mass voting, additional issues appear such as how to complete the procedure on multiple (often not ICT-experienced) voters and how to make the system accessible and credible at the same time.

Indexed as

ballotingconfidentialitye-voting secrecyICT systemmass votingonline system credibility

Identifiers

PMID36311460
PMCPMC9587700

What OpenQuestion holds

Textmetadata
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.