The example in my previous comment $\{f_n(x)=\mathbb{1}_{(n,n+1]}(x): n\in\mathbb{N}\}$ is uniformly bounded in $L_1(\mathbb{R},\lambda)$ (here $\lambda$ is Lebesgue's measure on the real line) and has not weakly convergence sequence: $\int \mathbf{1}\, f_n=1$ for all $n$ and for any $g\in L_\infty$ with compact support $\int f_ng\xrightarrow{n\rightarrow\infty}0$.
A deep theorem in analysis states that under some additional conditions on $\Phi:=(f_n:n\in\mathbb{N})$ (uniform integrability) the $\Phi$ is weakly compact (compact under the topology $\sigma(L_\infty,L_1)$.
Theorem (Dunford-Pettis): Suppose $(\Omega,\mathscr{F},\mu)$ is $\sigma$-finite. A subset $K\subset L_1$ is $\sigma(L_1,L_\infty)$--relatively compact iff $K$ is uniformly integrable.
See Bogachev, V., Measure Theory, Vol I, Springer, 2007, pp.285-286.
The result in many textbooks is stated for probability spaces; the result generalizes easily to $\sigma$-finite spaces.
Notice that $(\mathbb{R},\mathcal{B}(\mathbb{R}),\lambda)$ is $\sigma$-finite. The sequence in my counter example $f_n=\mathbb{1}_{(n,n+1]}(x)$ is not uniformly integrable:
$$\inf_{g\in L^+_1}\sup_n\int_{\{f_n>g\}}f_n(x)\,dx=1>0$$
The counterexample given by our stemmed member Robert Israel also fails to be uniformly integrable.
Uniform integrability in a sense prevents for mass to concentrate in sets of measure zero (in Robert's example) or to escape to infinity (in my example)