Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

David F. Carr

Learning To Fake Sincerity, Spontaneity In Social Media

The puzzle of sincerity and spontaneity versus security and control.

You know what they say about sincerity: once you learn to fake that, you've got it made. Something like that may be true of enterprise social media, at least in organizations that insist on a high level of corporate control.

The secrets to success in social media are sincerity and spontaneity, and organizations that can't stand (or can't afford) to be truly spontaneous will have to learn how to fake it convincingly. If their every social statement reads like it came out of a press release or a 10-K statement, who would want to friend or follow that?

By the way, the quote I'm riffing on is, "The secret of success is sincerity. Once you can fake that you've got it made." Sometimes attributed to George Burns (who may have said something similar about acting), it apparently goes back to Jean Giraudoux, the French diplomat, dramatist, and novelist. Or at least that's what Google is telling me.

Sincerity and spontaneity are on my mind following an article I did on the control financial advisors must exercise over social media, which in some cases extends to prescreening posts, or at least archiving them for later review.

Then this week I read a BetaNews article based on a Palo Alto Networks network traffic study that touched on the increased use of Web encryption in social media connections--and why that might be a bad thing, or at least a mixed blessing.

Applications using SSL represent 25% of the applications detected and 23% of the overall bandwidth used, according to the Palo Alto Networks study, which notes, "This segment of applications will continue to grow as more applications follow Twitter, Facebook, and Gmail, who all have enabled SSL either as a standard setting or as a user-selectable option." Palo Alto Networks said it based these findings on 1,253 enterprise network traffic assessments conducted between October 2010 and April 2011.

Encrypting entire Facebook sessions struck me as silly at first. Why protect every post and friend connection with the same encryption as a credit card transaction? Why not limit SSL to protecting your password when you first sign in? But authenticated sessions can be hijacked by someone with the skills to intercept unencrypted Web "cookie" files, which are transmitted with every connection to the Web server. So encrypted connections to social media and other Internet services are good for protecting employee accounts on those services. On the other hand, encryption potentially makes communications opaque to the corporately sanctioned prying eyes of compliance and information security teams.

Does your company really need to see everything an employee posts to Facebook or Twitter? Some companies apparently do, or think they do. And they may be right. The employee who transmits a confidential document to a competitor as an attachment to a Facebook message is doing no less damage than the one who does the same thing on the corporate email system, but the risk of being caught might be less. So the more conservative organizations that don't just block social media websites outright may demand that employees submit to monitoring and archiving of social media traffic--either by going through a proxy server that gives the company visibility into message content or by allowing their messages to be monitored through application programming interfaces from the service providers.

Blane Warrene is CEO of BMRW & Associates, which works with financial advisory firms and other financial services organizations on social media management. He told me customers of the firm's Arkovi archiving service typically stop at archiving posts to corporate profiles.

 1 | 2  | Next Page »


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.