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Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...

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Pattern-Triggered Oxidative Burst and Seedling Growth Inhibition Assays in Arabidopsis thaliana

Pattern-Triggered Oxidative Burst and Seedling Growth Inhibition Assays in Arabidopsis thaliana

Published on: May 21, 2019

Does Twitter trigger bursts in signature collections?

Rui Yamaguchi¹, Seiya Imoto, Masahiro Kami

¹Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

|March 14, 2013

Summary

This summary is machine-generated.

An internet forum significantly influenced a signature campaign opposing a medical policy, contributing 52% of signatures, while Twitter contributed 26%. This study quantifies social media

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Area of Science:

Social Sciences
Computational Social Science
Public Health Policy

Background:

Quantifying social media's influence on societal and political events is challenging.
A campaign against excluding traditional Japanese medicine (Kampo) from public insurance saw signature bursts coinciding with increased online activity.
Both Twitter and an internet forum showed spikes in relevant messages during the signature campaign.

Purpose of the Study:

To develop a statistical model for quantifying the distinct contributions of multiple social media platforms to public opinion dynamics.
To apply this model to a real-world signature campaign and estimate the impact of Twitter and an internet forum.

Main Methods:

Developed a state-space modeling framework to analyze time-series data of public opinion.
Applied the model to signature counts and social media message volumes during a specific campaign.
Estimated the contributions of Twitter and an internet forum to the signature collection.

Main Results:

A significant portion (78%) of signatures were influenced by either Twitter or the internet forum.
The internet forum had a larger total effect (52%) compared to Twitter (26%).
Twitter likely initiated the early bursts of signatures, but its impact may be less sustained than the forum's.

Conclusions:

Quantifying social media's impact aids in understanding public tendencies and developing effective engagement strategies.
The proposed statistical method is a valuable tool for analyzing complex social phenomena and hidden information within social data.