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#iconohash presents #recognition

Scroll down for the #recognition conversation report for August 26th, 2020 EST.

iconohash

the world's conversation archive

#recognition for August 26th, 2020 EST

01
49th

coming together

When it comes to participants, we ranked 49th among 240 conversations.

48th

participating

In terms of the number of posts, we ranked 48th out of 240 conversations that took place.

58th

amplification

This conversation ranked 58th out of 240 in terms of the amplification of ideas & content.

how we participated. Here's how participants reacted & engaged each other

Reactions
24%

Amplified

There were 9 reshares, 24% of posts, during the course of the conversation.

3%

Engaged

3% of participants in this conversation engaged each other 1 times.

53%

Content

53% of participants in this conversation shared a total of 2 unique pieces of content.

quick facts.

Here are the basic facts of the conversation for for August 26th, 2020.

0
Active
Participants
0
Posts
Total

meet the influencers the movers and shakers of #recognition

02

the top of the list. Top influencers in the chat

IMPACT
@REBA_Global

@REBA_Global

Reward & EB Assoc
REBA is the Reward & Employee Benefits Association. Both UK-based and global reward professionals can become members for free here: http://t.co/o3I8UM3Dys

@DimDrandakis

@DimDrandakis

Dimitris Drandakis
Co-founder | CTO @ai_MediaStalker #AI/#ML #SoftwareDevelopment #Tech #DigitalTransformation and... let's boogie! #BusinessAsUnusual

@katinamichael

@katinamichael

Katina Michael
Director Society Policy Engineering Collective. Prof@ASU. Editor IEEE Transactions in Tech & Society @IEEESSIT. Thinking about the future. https://t.co/A4Zrdq6ZSa

about the participants. let's take a look at everyone who show'd up

03

top professions what are they doing when they're not in #recognition

insight

  the top participating professions
out of 18 total

marketing
engineering
director
research
editor

gender an estimation of what the gender break down looks like
= 1 men or women

insight

Women

Men

about the content. the best content that was shared

04
A 26-layer convolutional neural network for human action recognition
Deep learning algorithms, such as convolutional neural networks (CNNs), have achieved remarkable results on a variety of tasks, including those that involve recognizing specific people or objects in images. A task that computer scientists have often tried to tackle using deep learning is vision-based human action recognition (HAR), which specifically entails recognizing the actions of humans who have been captured in images or videos.

chat growth how is #recognition growing over time?

05

want more? are you interested in the full data analysis for this chat? Full transcript? Longer view at chat growth?

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